Industry Specialists

E2E understands industry-specific challenges. The team has industry expertise across automotive, industrial, hi-tech, consumer, retail and financial services.


Allan Gray has a wealth of experience designing and deploying supply chain and marketing analytics. His interests include forecasting and planning process design, inventory management, capacity planning, pricing and supply flexibility.

Allan holds multiple patents relating to sourcing agreements and contractual agreements. He pioneered the field of supply chain risk management, co-founding Vivecon Corporation to provide these techniques through world-class consulting and software. Allan began his career at Procter & Gamble, where he introduced econometric forecasting techniques to Procter & Gamble Europe. He subsequently led a number of pan-European projects in supply chain management and purchasing as a consultant with McKinsey & Company.

Allan holds an M.Eng. degree in Engineering, Economics & Management from Oxford University and an M.B.A. from Stanford’s Graduate School of Business. He also held a Kennedy Scholarship at MIT, where he studied in the Department of Electrical Engineering, the Sloan School of Management and the Operations Research Center.

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Heiko Pieper has spent his career designing, implementing and deploying analytical solutions in the automotive, high-tech and electric power industries. His focus is on applying optimization techniques to risk management, capacity decisions and supply chain design challenges.

Heiko has extensive consulting experience with global OEMs and suppliers in the automotive industry in Europe and the US, and has also worked in the high tech, finance and utilities sectors. He was an early member of the Vivecon team, where he created the optimization algorithms to manage demand and supply uncertainty. He also built solutions to manage flexibility in the automotive industry. The techniques used were an extension of his research at Stanford, where he designed mathematical models to predict prices during the California electricity crises. He is also a patent holder in the area of supply chain risk management.

Heiko holds a Diploma in Business Mathematics from the University of Hamburg and an M.Sc. in Applied Mathematics from Colorado State University. He also holds an M.S. in Engineering-Economic Systems & Operations Research and a Ph.D. in Management Science, both from Stanford University.

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Colin Kessinger has a solid track-record as a supply chain innovator and counselor to senior procurement, manufacturing, and marketing executives. Over his career his work has focused on applying quantitative techniques to risk management, supply chain flexibility, capacity planning, and strategic contract design.

Colin has consulted extensively in the capital equipment, high technology, electronics, telecommunications, office equipment, baked goods and automotive sectors. He also co-founded Vivecon Corporation to commercialize a risk-management framework for managing demand and supply uncertainty. This framework was an outgrowth of his research as an Assistant Professor of Operations at the University of Michigan, where he focused on supply chain flexibility and contract design. As a result of this work, he holds several patents in the area of supply chain risk Management.

Colin holds B.Sc. and M.Eng. degrees in Operations Research and Industrial Engineering from Cornell University, and a Ph.D. in Industrial Engineering and Engineering Management from Stanford University.

Colin also currently serves as a lecturer of Operations Management at Stanford University.

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Gianpaolo Callioni has been a supply chain and operations practitioner and consultant in the high tech and consumer electronics industries for nearly two decades. He has developed advanced manufacturing and distribution strategies for numerous businesses, redesigning critical supply chains and business processes. GP’s focus has been on improving the effectiveness of the overall value-chain, with particular emphasis on the optimization of pricing and financial flows.

As manager of the Strategic Planning and Modeling (SPaM) team at HP, GP led cross-functional teams to address strategic and operational issues by applying quantitative modeling and analysis to supply chain management, forecasting, planning, risk management, warranty and product design problems. As a result of his early career experience in Corporate Finance, GP has developed deep functional expertise in the optimization of supply chain financial flows.

GP has published articles in Harvard Business Review, Interfaces, and OR/MS Today and is a frequent speaker at conferences and academic events. He also has patents pending on business processes, tools and algorithms applied to capacity & inventory optimization and financial flows. He holds a B.S. in Business Administration and Economics from Bocconi University in Milan, Italy.

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Rob Hall has spent two decades as a practitioner at the forefront of the Supply Chain Management movement. He specializes in manufacturing and distribution strategy, network design, inventory management, operations improvement, and order fulfillment processes.

Rob spent much of his career at Hewlett-Packard, where he led the Strategic Planning and Modeling (SPaM) Team, HP’s highly regarded internal supply chain analytics consultancy. While there he championed the advancement of sophisticated supply chain and inventory modeling capability. He subsequently held the roles of Operations Manager and Supply Chain Engineering Manager for HP’s notebook PC business, where he implemented International Direct Ship, Build-to-Customer-Order and Vendor Hub programs, resulting in dramatically improved business performance. Rob has consulted extensively across a wide range of businesses.

Rob holds a B.S. in Mechanical Engineering from MIT and an M.Sc. in Electrical & Computer Engineering from the University of Waterloo.

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Sitki Timucin has over a decade of analysis and consulting experience in supply chain and operations management. He has done extensive work in supply chain network design, inventory management, forecasting and planning, and decision analysis, often applying advanced simulation techniques.

Sitki spent much of his career at Hewlett-Packard as an analytical business consultant within the Strategic Planning and Modeling (SPaM) team, lending his expertise to all of the firm’s main business areas. In addition to his “core” supply chain areas of expertise, he led work in the areas of product design, product life cycle management, and product returns and disposal. Sitki has also presented and lectured at numerous conferences and universities.

Sitki holds a B.Sc. degree in Industrial Engineering from Bilkent University. He also received an M.S. in Operations Research and a Ph.D. in Industrial Engineering and Engineering Management from Stanford University.

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Bob Lee has substantial experience managing strategic accounts for software and service providers across a variety of industries, including automotive, retail, CPG, healthcare and financial services.

Bob spent much of his career with leading software and services vendors such as Computer Associates, Sybase and webMethods. There he built numerous long-term partnerships with Fortune 500 companies by matching business needs with technology solutions and managing business relationships to ensure successful implementations with realized ROI.

Bob has also built strong partnerships with other services providers such as IBM, Deloitte, EDS and CapGemini. Over his career he has managed over $100M of software and service revenues.

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Bob Moncrieff brings over twenty-five years of industry and consulting experience in global operations, supply chain, customer service, and product development. Bob helps both large and emerging companies in the technology and consumer sectors to improve operations and plan international expansion.

Bob is a senior international management consultant. Prior to joining End-to-End, Bob co-founded DBI Network, which he continues to oversee. (End-to-End Analytics is a DBI Network member firm.) Before that he was a senior partner leading PwC’s US Retail and Consumer Consulting practice across all aspects of strategy, operations, and technology deployment and enablement. Bob joined PwC through the acquisition of PRTM Management Consultants, where he worked for sixteen years. There his roles included leading their consumer, retail, and chemicals practices, as well as their supply chain practice. Bob previously worked as a manufacturing engineer and program manager with IBM (Greenock, Scotland and Brussels, Belgium) and at Acuson (now part of Siemens Healthcare).

Originally from Scotland, Bob graduated with distinction from the University of Strathclyde with an M.Eng. in Manufacturing Sciences and Engineering, and from MIT with an M.S. in Technology and Policy. He has been certified in Production and Inventory Management (CPIM) by APICS.

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EJ Tavella has nearly two decades of strategic management and supply chain consulting experience focused on sales and operations planning, integrated business planning, demand planning, supply planning, and system strategy. EJ’s work has supported a diverse set customers from Fortune 50 to high growth start-ups in the high tech, consumer electronics, consumer goods, food and beverage, oil and gas, and process chemicals spaces.

EJ was a founding member of Steelwedge over a decade ago, where he helped to build the leading cloud-based sales and operations planning solution. EJ ran many teams in his years at Steelwedge, including sales, pre-sales, consulting, and product management. Prior to Steelwedge, EJ founded a consulting company focused on supply chain process optimization supported by offshore custom software. He sold, staffed and delivered solutions for leading firms including Hewlett-Packard, Red Envelope and Yahoo! EJ also held management roles at BIGWORDS where he oversaw a multi-source, multi-million SKU distribution supply chain. EJ began his career as a management consultant with Ernst & Young, working with customers on business strategy, process optimization and system enablement.

EJ is frequent speaker at supply chain events. He holds a B.S. in Finance from California Polytechnic State University, San Luis Obispo.

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Tom Davis has practiced in the field of supply chain management for two decades. His particular areas of interest include forecasting, inventory management, service parts management, and the application of IT tools to these problems.

Tom’s work spans from high-volume consumer electronics at HP to low-volume, high-mix manufacturing at Philips Medical Systems. Tom led the first implementation of an Advanced Planning & Scheduling system at HP, and he subsequently deployed a service parts planning system at Philips. Most recently, Tom held the position of Director, Industrial Supply Chain Processes, at Philips.

A licensed Professional Engineer, Tom holds a patent for his work applying cellular manufacturing concepts to printed circuit assembly. He was a National Science Foundation graduate fellow and holds graduate degrees in mechanical engineering (MIT) and engineering management (Stanford). Tom’s publications include the landmark article “Effective Supply Chain Management” in the Sloan Management Review.

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Dave Chang is a seasoned business consultant, framing business problems and setting strategy for business executives through a data-driven analytic approach. He is an experienced mathematical modeler with substantial experience across diverse business domains (supply chain, forecasting, logistics, pricing and revenue management), methodologies (optimization, simulation, Bayesian decision making, and statistical models), and platforms (Excel/Access/VBA, client-server, and web-based applications).

Dave has structured and led consulting efforts in supply chain network design, inventory control, forecasting, logistics, and pricing as an analytical business consultant on the Strategic Planning and Modeling (SPaM) team at HP. Prior to that work, Dave worked in software development in the ocean container transport industry, developing cross functional decision support tools for determining the optimal cargo mix, asset utilization, inventory, scheduling, routing, and pricing.

Dave holds a B.S. degree in Management Science from MIT. He also holds an M.S. in Engineering-Economic Systems and Operations Research and a Ph.D. in Operations Research, both from Stanford University.

Dave serves as an adjunct professor of Operations Research at the Santa Clara University School of Management and at Stanford's Department of Management Science & Engineering.

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Andy Fisher has spent over a decade designing, developing, and deploying analytical systems in the high-tech manufacturing, consumer product, and financial service industries. He has focused on applying quantitative approaches to problems in demand forecasting, financial modeling, risk management, and supply chain flexibility.

Andy previously worked at Cisco Systems as a Sales and Operations Planning (S&OP) Manager. He also managed Cisco's Analytical Forecasting and Modeling team, where he led development of systems for demand forecasting (including new products), inventory buffering, and performance reporting. Prior to that, Andy worked at the SAS Institute as an Analytical Consultant, implementing large-scale forecasting systems for Fortune 500 retail and CPG companies. Earlier in his career, Andy worked in financial risk management developing and implementing portfolio credit risk analytic systems for the world’s largest banks.

Andy holds a Ph.D. in Economics from the University of Georgia in Athens, where he specialized in time series econometrics and financial economics. He is a member of INFORMS and NABE.

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Haris Japic brings more than ten years of pricing strategy consulting and pricing product management experience to customer engagements. He has developed pricing strategies for companies in the distribution, semiconductor, high-tech, CPG and oil and gas industries. In addition, Haris has led and completed several pricing software implementation projects and worked with leading companies in the pricing space including Vendavo, Vistaar and ModelN.

Haris has also worked in engineering and product management organizations at NVIDIA and Intel. He was responsible for developing product pricing strategies, value based pricing, and reactive pricing due to competitive pressure.

Haris has an M.B.A. with emphasis in Finance from The Wharton School at the University of Pennsylvania and a B.S. in Electrical Engineering from San Francisco State University.

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Kyle Eddy has 20 years of experience bridging product development and operations in the Data Storage and Telecommunications industries. Nearly half of that time involved direct management experience in Asia, where he has demonstrated success in building and integrating international development and analysis teams. His roots are in automatic control systems, which focuses on automated, data-based decision-making.

Kyle spent over 15 years at Seagate where he led both design center product development and factory NPI teams. On assignment in Asia, he integrated factory operations data analysis teams across seven vertically integrated factories in 4 countries into a single team, deploying best practices in process control and enabling global optimization of key operations metrics. With Avaya, he built an engineering team and analysis laboratory in south China to engage Avaya’s manufacturing partners in quality improvement and product cost reduction. As leader of Seagate’s enterprise servo firmware development team, he integrated teams across multiple design centers, and developed best in class development tools and firmware development processes. His work in servo control for hard disk drives earned him four patents in the field.

Kyle holds an M.S. in Electrical and Computer Engineering from Carnegie Mellon University. His undergraduate work included Washington University in St. Louis where he earned a B.S. in Electrical and Computer Engineering, and Connecticut College where he earned a B.A. in both Physics and Mandarin Chinese.

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Ken Agacinski has spent his career as a consultant in the areas of forecasting and supply chain management, with significant experience in the automotive, food, and high tech industries. His particular focus is on agile development, seamlessly combining data with custom or available software to support better and quicker decisions through data analysis and visualization. Projects in this area have ranged from product portfolio decision management in the food industry to sophisticated risk assessment throughout the automotive supply chain. He has also performed extensive research in the areas of supply chain optimization and workload modelings of supply chain optimization and workload modeling.

Ken began his career at General Motors where he developed workload modeling software for the Containerization Department. He also led a successful group-wide initiative to substantially reduce the lead time of project development. He then worked as a consultant for the Vivecon Corporation, developing a range forecasting methodology for several automotive OEMs. The application of this forecasting approach continues to have considerable impact on the largest and most complex supply chains in the world. In addition to these experiences, he worked for two years as Executive Director of The MORE Program - a non-profit organization focused on supporting entrepreneurs in the early stages of their business development.

Ken holds a B.S.E. and an M.S.E. in Industrial and Operations Engineering from the University of Michigan. He is also a member of the Tauber Institute for Global Operations.

Russell Halper has devoted his career to developing cutting-edge analytics solutions to problems in supply chain, manufacturing, and marketing. He is passionate about developing actionable, pragmatic analytics that align closely with business processes to generate first-rate results. Russell has worked with companies of all sizes in industries including consumer packaged goods, retail, consumer electronics, silicon manufacturing, home package delivery, and internet content distribution. He has developed solutions for a diverse set of problems in schedule optimization, network design, promotions forecasting and optimization, financial forecasting, inventory analysis, DC operations analysis, supply chain strategy, and resource management.

Prior to joining End-to-End, Russell was a member of an internal supply chain consulting group at Nestlé that focused on developing optimization-based solutions for various problems in supply chain and manufacturing. Amongst his biggest successes was designing, developing, and implementing a finite scheduling tool for complex batch-and-queue production environments with stochastic yields. Earlier in his career, Russell worked for UPS and Akamai Technologies.

Russell has a B.S. in Mathematics from the College of Creative Studies at U.C. Santa Barbara and M.S. and Ph.D. degrees in Applied Mathematics from the University of Maryland. He is an author of several academic papers in network and transportation optimization, sports scheduling, and modeling computer networks.

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Gustavo Ferreira has devoted his career to performing data analysis, providing insight and helping clients make informed decisions in a variety of strategic and operational problem domains. His background includes project portfolio optimization for the telecom and food industries, cost reduction and productivity gains for financial institutions, and organization design for ethanol producers.

Prior to joining End-to-End, Gustavo was a consultant at the Monitor Group and at INDG, the largest consulting company in Brazil. He led consultant teams and managed projects focused on maximizing clients' profitability based on scenario analysis, financial valuations, process and performance improvements, and overhead and production cost reductions. His work ranged from finding opportunities to full implementation of designed solutions.

Gustavo has an MBA from the Tuck School of Business at Dartmouth and a Specialization in Finance from IBMEC (Brazil) as well as a B.S. in Mechanical Engineering from Pontificia Universidade Catolica de Minas Gerais in Brazil.

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Luis Miguel Rios has designed and successfully deployed business analytics tools for supply chain and commercial operations supporting over a thousand users. His background includes projects for demand forecasting, supply chain planning and optimization.

Prior to joining End-to-End, Luis Miguel was a Business Intelligence Specialist at Kimberly Clark, with assignments both in the United States and in Peru. He designed and implemented analytics toolkits used across the corporation. The designs consisted of dashboards presenting relevant KPIs for operations and highlighting opportunities of improvement. He belonged to the New Technologies team, which introduced the latest technologies into Kimberly Clark’s portfolio of tools. Earlier in his career, Luis Miguel was a post-doctoral scholar at Carnegie Mellon working on derivative-free optimization applications (especially for drug discovery) and at Exxon-Mobil developing optimization software to support upstream research.

Luis Miguel holds a B.S. in Industrial Engineering from the Pontificia Universidad Catolica del Peru (Lima, Peru) and a Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign.

Luis Miguel now serves as an adjunct professor of operations and supply chain management at ESAN Graduate School of Business in Lima.

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Christian Ramirezluna has spent the last decade expanding global businesses in several Latin American countries, deploying supply & demand chain projects, and building out supply chain operations as well as associated ERP implementations.

Christian led the execution of the growing business strategy of AAK in South America, taking charge of two main projects: developing new markets for new products and designing the optimal supply network and land acquisition for the Greenfield project in Brazil. Prior to that, Christian worked for Coca-Cola Uruguay as leader of the demand planning process. Earlier, in Peru, he worked for Belcorp as Senior Corporate Demand Manager, where he led Forecasting and Demand-Supply Balancing projects, designing and developing forecast tools that reduced forecast error & bias for cosmetic products. While at Belcorp he was also responsible for the demand planning process for the CyZone brand across eleven countries. Earlier he was in charge of initiating operations – including ERP implementation – in new countries including Ecuador, El Salvador, Guatemala, and France.

Christian has an Executive MBA from IAE Business School (Argentina). He is also an APICS Certified Supply Chain Professional (CSCP), and he holds a B.S.E. in Industrial Engineering from the Pontificia Universidad Catolica del Peru.

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Maria Carrascosa has been a product development and supply chain consultant for nearly 20 years. She has worked with a wide range of companies from startups to Fortune 50 companies, in a variety of areas including high tech, medical devices, network and communications, consumer electronics and e-commerce. Maria brings to the table strong business analysis capabilities and a wealth of experience in implementation and change management. She has consistently helped companies significantly improve their bottom-line by optimizing and redesigning their critical business processes.

As part of her consulting work, Maria has led cross-functional and cross-company teams to re-design and implement new supply chain fulfillment models and advance capabilities of the overall supply chain across the planning, manufacturing and fulfillment areas. In the product development area, she has helped companies to re-think their development process to reduce time-to-market and improve resource utilization. Originally from Spain, Maria holds an Engineering degree from ETSII (Spain) and graduated from MIT with a M.S. (Manufacturing Systems) and a Ph.D. (Product Development). Maria has worked and lived throughout North America and in several European countries.

Maria Carrascosa has consulted extensively for nearly 20 years in high tech, medical devices, network and communications, consumer electronics and e-commerce. She brings to the table strong business analysis capabilities and a wealth of experience in implementation and change management. She has consistently helped companies significantly improve their bottom-line by optimizing and redesigning their critical business processes.

Maria holds an Engineering degree from ETSII (Spain) and graduated from MIT with a M.S. (Manufacturing Systems) and a Ph.D. (Product Development).

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Aabha Verma has hands-on experience managing small business operations in a startup retail environment. More recently she has applied her skills to helping firms improve their business processes and deploy decision support tools.

Aabha has a research background in retail operations and inventory management and has worked on dynamic assortment planning, shelf space problems and statistical forecasting models. She recently helped develop an optimal quantity sourcing decision tool for a leading cosmetics company in the U.S. With a mechanical engineering background, Aabha previously interned in the design and assembly operations arms of the automotive industry. She also supported development work in the CAD industry. She has since worked on multiple supply chain projects in the automotive space. Her projects include forecasting supplier parts requirements and process planning for vehicle allocations.

Aabha holds a B.E. in Mechanical Engineering from College of Engineering, Guindy (Chennai, India). She has an M.S. in Management Science and Engineering from Stanford University and an M.S. in Operations Management from the Tepper School of Business at Carnegie Mellon University.

Steve Agacinski has several years of hands-on supply chain experience, including demand and supply balancing and materials management. He has spent much of his career developing and deploying new planning processes and creating the analytical tools to enable them.

Steve has worked in the technology, health care, and automotive industries. As a member of the Demand and Supply Planning team at Palm, he was responsible for the monthly long-term planning cycle for smartphones. This entailed managing information from across all departments of the company and providing an analysis-based product forecast. Earlier in his career, Steve worked as a management consultant, focusing primarily on achieving cost savings through internal process improvements.

Steve has a B.S.E. and an M.S.E. in Industrial and Operations Engineering from the University of Michigan.

Tim Kwan is an experienced business consultant in the areas of supply chain management, analytical modeling, forecasting, and process improvement. He has led results-driven analytical projects across multiple industries, including pharmaceuticals, energy, manufacturing, and consumer packaged goods.

In each of his engagements, Tim has executed data-driven analyses and provided custom decision support tools necessary for sustained success. As a consultant to mid-to-large size pharmaceutical companies, he conducted forecast accuracy and sales force allocation analyses. At the utility company PG&E he led a comprehensive evaluation of an internal materials supply chain that resulted in greater resiliency and cost savings through key operational changes. Tim has also worked with a national ice cream manufacturer, where he analyzed inventory management strategies to reduce usage of costly outside storage facilities.

Tim holds a B.S. and an M.S. in Industrial Engineering and Operations Research from the University of California, Berkeley. Tim also holds the distinction of being the inaugural winner of the Institute for Operations Research and the Management Sciences' open "Spreadsheet Guru" contest in 2012, besting a field of entrants from around the world.

Ben Dussault has used advanced analytics to consult to a variety of industries, including manufacturing, distribution, and government agencies. His background includes work in pricing, segmentation, business intelligence, optimization, and modeling.

Prior to joining End-to-End, Ben was a consultant at Insight to Profit, where he led client engagements to optimize pricing and the pricing process. His projects included setting list prices and revising the customer rebate structure for an international manufacturer, leading to significant and sustained margin increases. In addition to price optimization and analytics, Ben specialized in implementation and measurement, making sure his clients realized their projected impact. Earlier in his career, Ben worked at Booz Allen Hamilton, where he modeled a global computer network and performed sensitivity analysis to assess the network’s scalability.

Ben double-majored in Math and Physics at the University of Virginia, and he earned his Ph.D. in Applied Mathematics at the University of Maryland. Ben has authored many academic papers addressing transportation and network optimization.

Ben serves as a lecturer at Cleveland State University’s Monte Ahuja School of Business.

Cindie Wu has successfully modeled & deployed process improvements in the manufacturing & distribution and healthcare arenas. Her projects have ranged from structuring global repair networks to improving process efficiency within the four walls of a single facility. Detailed data analysis and supporting tools have been a common thread in her work.

Cindie’s supply chain management projects span a range of applications. As a summer associate at the RAND Corporation, Cindie evaluated the robustness and reliability of the U.S. Air Force’s repair facility network, applying techniques to better account for uncertainty. As a co-op student with Estée Lauder, she addressed shop-floor efficiency of automated packaging lines. On the healthcare front, she developed a Monte Carlo simulation to study mass prophylaxis in the face of a bioterrorism threat. And she applied detailed data analysis as well as conventional business process reengineering techniques to improve patient scheduling in a university research clinic.

Cindie holds a B.S in Operations Research and Information Engineering from Cornell University and an M.S. in Management Science and Engineering from Stanford University. She is currently on leave from the Ph.D. program at Stanford.

Karthikram (Ram) Natarajan has worked on supply chain problems in the high tech, food processing and manufacturing industries. He has a keen technical interest in applying the programming language R to these problems for advanced statistical analysis.

Ram has tackled problems relating to operations improvement, demand-supply matching, demand forecasting, production planning and promotion planning. In particular, Ram has developed forecasting models for the consumer goods industry and used them to evaluate the ROI of promotions. Earlier in his career, Ram applied his chemical engineering expertise in the clean tech industry, having worked on photovoltaic system design, flue gas emission reduction, and waste-to-energy conversion.

Ram has a B. Tech in Chemical Engineering from the Indian Institute of Technology, Madras, and an M.Eng in Industrial Engineering and Operations Research from the University of California, Berkeley.

Angie King is committed to applying advanced quantitative techniques to challenges in operations and analytics. Her professional and academic work has included consulting and collaboration with industrial partners in sectors as diverse as retail, government, healthcare, and transportation.

In all of her projects, Angie has assessed the business situation and applied the appropriate tool for the job. When consulting for a global electronics client, she developed stochastic inventory models and conducted data analysis to predict the financial impact of operational changes both at the supply chain network level and individual SKU level. Angie brought her knowledge of forecasting to a national retail chain’s targeted marketing campaigns as well as to the public sector by working to enhance the Boston Police Department's crime forecasts. And she collaborated with a large regional healthcare network to improve their discount pricing contract design. Angie also developed an optimization-based method to dynamically rebalance a public bicycle sharing system, accounting for stochasticity in demand.

Angie maintains a strong interest in education and is a co-creator of the massively open online course "The Analytics Edge" on MITx, which has tens of thousands of students enrolled. She holds a Ph.D. in Operations Research from MIT and a B.Sc. in Mathematics from McGill University.

Miranda Olds is an experienced business consultant with cross-industry experience advising teams on strategic operations and supply chain initiatives. Her typical projects include cost savings, operational restructuring, network strategy, and operations improvement.

Miranda began her career at Campbell’s in their Supply Chain Rotational Program. She held roles in their industrial engineering, logistics, and operations departments and became a Certified Six Sigma Black Belt. She then joined A.T. Kearney as a management consultant, focusing in operations, manufacturing, and supply chain. She has led and managed teams across a variety of industries, using an analytical approach to solve their business problems and deliver impactful results.

Miranda holds B.S.E and M.S.E degrees in Industrial and Operations Engineering from the University of Michigan. She is also a member of the Tauber Institute for Global Operations.

Pedro Ranieri has extensive consulting experience and a strong technical background. During his career he has worked as an operations executive, business consultant, and software engineer. He has helped many businesses to improve their resource utilization, ROI, product quality, and service levels.

Before joining End-to-End, Pedro worked for Fundação Dom Cabral, where he worked on diverse projects for railroad, mining, metallurgical, and service companies, addressing operations, resource management and change management problems. He held a similar role as an internal consultant for MRS Logistica, a rail operator in Brazil. He also has hands-on experience, having once served as director of operations for a manufacturer of industrial products. Pedro has a background in software development and has implemented solutions addressing finance, pricing, and database marketing problems.

Pedro has an M.B.A. from the Tuck School of Business at Dartmouth and graduate certificates in Finance (UFMG, Brazil) and in Software Engineering (Pontifícia Universidade Católica, Brazil). He holds a B.S. in Mechanical Engineering also from Pontificia Universidade Catolica.

Navneet Ramachandran has hands-on experience in manufacturing operations, which gives him a real-world appreciation for how things really get made and distributed. Having been trained in Lean Six Sigma, he has developed supplier quality systems and control measures to minimize material wastage.

Navneet’s abiding interest, though, is applying advanced analytical techniques to the support of manufacturing and supply chain operations. He has developed advanced transfer function forecasting models aimed at anticipating channel behavior – both sell-in and sell-out. He has also developed pricing models to address price elasticity as well as optimal pricing of seasonal products. He has a host of technical tools at his disposal, lately favoring R and MATLAB for his most complicated projects.

Navneet holds a B.Tech in Manufacturing & Production Engineering from the National Institute of Technology in Tiruchirappalli, India. He also holds an M.S. in Industrial Engineering and Operations Research from the University of Texas at Austin.

Thairo Arruda worked for five years as a management consultant at the largest consulting company in Brazil. His project background spans cost management, revenue improvement, goals deployment, and process restructuring. He worked on projects for the government, hospitals, banks, and industrial and retail companies.

Allan holds multiple patents relating to sourcing agreements and contractual agreements. He pioneered the field of supply chain risk management, co-founding Vivecon Corporation to provide these techniques through world-class consulting and software. Allan began his career at Procter & Gamble, where he introduced econometric forecasting techniques to Procter & Gamble Europe. He subsequently led a number of pan-European projects in supply chain management and purchasing as a consultant with McKinsey & Company.

Allan holds an M.Eng. degree in Engineering, Economics & Management from Oxford University and an M.B.A. from Stanford’s Graduate School of Business. He also held a Kennedy Scholarship at MIT, where he studied in the Department of Electrical Engineering, the Sloan School of Management and the Operations Research Center.

Scott Grabnic is an experienced business consultant with a particular talent for developing analytic solutions in the areas of financial modeling, decision/uncertainty analysis, and data visualization.

At End-to-End, Scott has engaged with clients in the automotive and semiconductor industries on projects covering a variety of supply chain problems. Prior to joining the firm, he spent five years in the SaaS industry deploying analytic software to several of the world's largest pharmaceutical and high-tech companies. These solutions included tools for R&D portfolio management, financial scenario analysis, and competitive/business intelligence reporting. Scott employs an adaptable technical skill set that includes VBA, SQL, JavaScript, R, and several other scripting languages.

Scott earned an M.S. in Management Science and Engineering from Stanford University and a B.S. in Operation Research and Information Engineering from Cornell University.

Kevin Olivier has hands-on experience building sophisticated statistical models and applying them to a wide variety of industries, from processed food to finance. He takes care to empower users by developing intuitive and powerful analytical tools.

Kevin’s background, being at the border between operations research and data science, has enabled him to build experience in both supply chain management and data analytics. On one end of the spectrum, he helped Amazon design its last-mile delivery service, sizing the infrastructure needed for the Bay Area as well as prototyping an internal platform to track packages. At the other end of the spectrum, he created a new model based on the most recent machine learning algorithms to segment loan applicants for Prosper Marketplace, one of the top players of the fast-growing peer-to-peer lending industry. He also previously worked for Nestlé Purina to analyze large marketing data and identify new market opportunities. And he worked for consulting group KPMG to create a data-driven customer relationship management tool to improve and streamline sales performance.

Kevin has a B. Eng and an M. Eng in Industrial Engineering and Operations Research from the Ecole Centrale Paris in France and an M.Eng in Industrial Engineering and Operations Research from the University of California, Berkeley.

David Shilane provides incisive and creative solutions to analytical problems. With a background in statistics, consulting, business, and computer science, he enjoys working with clients at every step from their initial questions to the final report. With years of programming experience, primarily using R, David can deliver flexible and agile computing solutions to the challenges facing your business.

David’s experience as a statistician and consultant span a range of practices and industries. While serving as a biostatistician at Stanford University, David collaborated with physicians, researchers, health providers, and insurance organizations to improve the effectiveness and reduce the cost of medical treatments. His work included extensive analysis of large databases spanning millions of patient records over many years. Working in educational technology, David was the principal designer of the software tools and the analytics platform for generating customized lessons based upon a student’s learning style, needs, and interests. He also has experience working in model risk management for a premier investment bank. David has served as a consultant on projects in many industries, including market research, financial services, nutrition and health programs in developing countries, biotechnology, medical devices, clinical trials, real estate, retail, marketing, and website optimization.

David received a B.S. degree in Mathematical and Computational Science and an M.S. in Statistics from Stanford University. He completed a Ph.D. in Biostatistics from the University of California Berkeley. As part of his doctoral studies, David also pursued a Designated Emphasis (Ph.D. Minor) in Computational and Genomic Biology. During his graduate career, David served as a lecturer and teaching assistant for introductory and graduate level courses in statistics and computer science. He has co-authored over two dozen scholarly papers and publications in the fields of statistics, computer science, cardiology, nephrology, genetics, and health economics.

Karl Sorensen has developed and deployed mathematical models for applications in biotech process development, climate studies, sports, and business.

Prior to joining End-to-End, Karl developed ecological risk management tools to quantify the effects of climate change by modeling growth and carbon uptake of phytoplankton. He also applied machine learning techniques to predict performance and injury-susceptibility in Major League baseball. Karl has also applied his mathematical modeling expertise to the biologics industry, where he developed high-throughput assays to improve production efficacy. Karl has considerable database management experience and a technical skill set that includes R, MATLAB, Java, and VBA.

Karl holds B.S. in Biology from MIT.

Georg Schorpp has worked on supply chain projects in the high tech, automotive, and manufacturing industries. He has a keen interest in solving business problems using analytical methods, statistical modeling, and optimization.

Georg has tackled a wide range of problems related to optimal ordering policies for spare parts, inventory management for perishable products, and strategic production planning. Georg maintains a research interest in supply chain contracting under supply risk with invisibility and has presented his work at numerous conferences. As a side project, he also co-developed a scientific information search engine for academic research papers.

Georg holds a Diplom in Business Engineering from the Karlsruhe Institute of Technology, an M.S. in Industrial Engineering and Operations Research from the University of Massachusetts, Amherst, and a Ph.D. in Management Science and Engineering from Stanford University.

Rafael Demetri has extensive experience employing statistical models and machine learning algorithms to solve real-life problems. He has strong technical and programming skills, and he is committed to applying rigorous analytical methods to help firms operate more efficiently and make data-driven decisions.

Rafael worked for over seven years researching and developing digital signal processing applications. While at LINSE, a research laboratory of the Federal University of Santa Catarina in Brazil, Rafael worked on issues such as adaptive filtering, speech recognition, and biometric speaker identification. He focused on translating state-of-the-art academic research into efficient, deployment-ready applications. Rafael has also worked with management consulting firm Bain & Co., where he applied his analytical skills to solving complex and ambiguous business problems. More recently, he was Product Marketing Manager at ClearSlide, a tech startup in San Francisco, where he was responsible for pricing and packaging decisions and for conducting value realization studies with customers.

Rafael has an M.B.A. from the Tuck School of Business at Dartmouth and holds M.S. and B.S. degrees in Electrical Engineering from the Federal University of Santa Catarina (UFSC, Brazil).

Ainara Arcelus has a background in applying integer and dynamic programming techniques to healthcare operations and transportation asset management problems.

Prior to joining End-to-End, Ainara worked at a consulting firm helping government agencies determine the optimal allocation of funds to support public transportation projects. Previously, Ainara was a research assistant at the MIT Sloan-MGH collaboration. There, Ainara worked on a variety of optimization projects at the hospital, such as scheduling patients in the cancer center or determining inventory levels for surgical instruments. Ainara likes coding in Python, Julia, and R.

Ainara holds an A.B. in Applied Mathematics from Harvard College.

Nicole has extensive experience applying operations research and mathematical methods to find optimal solutions. Her focus is on combining optimization, predictive analytics and complex data analysis to gain essential business insights.

Prior to joining End-to-End, Nicole spent 4 years at IBM Research Ireland, where she applied her knowledge of optimization to a wide range of applications. Her work has centered around analyzing complex data to transform data insights into actionable recommendations that improve business processes. Nicole has worked with water utilities to improve their operation by minimizing costs and reducing water leakage. She collaborated with a large sales corporation to recommend sales team structures that maximize success rates, and she led work on optimal charging of plug-in electric vehicles. Nicole also has a background in optimization under uncertainty and designed a semidefinite programming solver as an addition to CPLEX. In addition to her technical background, Nicole enjoys finding ways to present quantitative results in an intuitive way.

Nicole has PhD from Stanford University in Computational and Mathematical Engineering and a BS in Mathematics from Tulane University.

Prerana Jakhotia is a business consultant in the areas of supply chain management, process improvement and analytical modelling. She has keen interest in applying mathematical optimization techniques and statistical analysis to solve complex business problems.

She has years of hands-on experience managing and optimizing business operations for different industries like wineries, automobiles, retail, consumer electronics and service industries. Some of the projects she has worked on include demand forecasting, planning and scheduling of manufacturing operations, pricing and promotion optimization, network planning and designing, simulation of operations, inventory optimization. Before joining E2E, Prerana worked with General Motors as Industrial Engineer and in a startup consulting firm as Management Consultant. She likes coding in Python, R, and VBA and develop mathematical models using Cplex, Gurobi etc. .

Prerana holds a Masters in Operation Research and Information Engineering from Cornell University, and a Bachelors in Production Engineering from College of Engineering Pune, India.


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