Ali E.

About Ali E.

Utilizing operational and business data to identify new opportunities. Discover creative solution to business / operational / tech problems: take them from their inception to implementations phase. Focused on optimally running diverse Supply-Chain to maximize profits while meeting operational and business constraints and obligations. Career interests include: managing/applying of quantitative methods to drive value at the interface of tech and business, in a data driven corporation.Leadership: Devising creativity business solutions to meet organizational needs, deriving new sources of revenue by questioning existing business and operational assumptions/limitations. Innovate through business model changes. Articulating a clear vision, with conviction in combination utilizing data, to drive decision making that is: fast/precise/predictable/optimal, with understanding and control of risk.Areas of research have included computer vision, control, system identification, optimization, pattern recognition, machine learning, robotics and logistics.ML: time series analysis, Multivariate analysis, Signal / Image AnalysisOpt: Robust/Stochastic Optimization, LP/QP/SQP/MINLP/GA.Control: system identification, performance monitoring, MPCCustomer Analysis: conjoint analysis, market segmentation, pricing models, RFFinancial Eng: trading (Electricity, NG, Oil), risk management, hedging strategies, volatility modeling, high frequency energy models, Some Patents:1) Methods for Improved Production and Distribution: Supply-Chain Optimization2) Bulk Distribution Method: Focused on Logistics Optimization3) System and method for temp data acquisition: Focused on Computer Vision4) Method of operating a furnace: Focused on Control5) System and method for Process Monitoring and Diagnoses: Focused on ML (PCA/PLS)6) Application of Revenue Management in Chemical Industry

Experience

1. Sr Manager (Research Tech), Global Delivery Services (Modeling and Optimization)

   Amazon

   Feb 2019 — Present · Seattle, WA, US

   Focused on Transportation, Logistics, and Supply Chain Optimization Technology to delight our customers, As one of the leaders of Global Delivery Systems in MOP team, I manage a team of motivated Managers, SDEs, DE, Data Scientists and Research Scientists responsible for research and deployment of our solutions and moving those solutions to production environment to power the core retail functions of amazon.com in dozen countries (>$150 billion revenue). To accomplish this task, we use one of the largest data sources in the world, which captures diverse set of information for our business and we effectively use it to make decisions. Our focus is to be Customer Obsessed in how we operate our Supply Chain to increase the speed of our deliveries, reduce the cost of deliveries and improve the on time deliveries of items to our customers.

Education

• McMaster University

  Ph.D., Chemical Engineering

  1996 — 2001

• University of Waterloo

  B.A.Sc., Chemical Engineering

  1991 — 1996

Skills

• R&D
• Industrial Gases
• Power Trading
• Engineering
• Optimizations
• Matlab
• Portfolio Optimization
• Chemical Engineering
• Supply Chain Optimization
• Machine Learning
• Model Predictive Control
• Design of Experiments
• Manufacturing
• Six Sigma
• Forecasting
• Chemistry
• Chaid
• Operations Research
• Stochastic Optimization
• Process Simulation
• Optimization
• Network Optimization
• Options Pricing
• Quantitative Analytics
• Quantitative Finance
• Process Engineering
• Research and Development (R&D)
• Time Series Analysis
• Cluster Analysis
• Price Forecasting
• Big Data
• Factor Analysis
• Demand Forecasting
• Cross-Functional Team Leadership
• Advanced Process Control
• Polymers
• Leadership
• Forecast Modeling
• Process Control
• Management