I have a concrete foundation in Statistics, Calculus, Stochastic methods, Linear Programming, Discrete Optimization, Predictive Modelling, Data Analytics and Mining, R programming, Python, Operations Research and Transportation Analytics. TECHNICAL EXPERTISE • Project Management: Project Selection, Estimation and Scheduling Techniques, Risk Management, Cost Planning and Budgeting, Team Management, Earned Value Management • Process Improvement - Six-Sigma, Lean Principles, Project Management, SIPOC, VSM, Root Cause Analysis, FMEA, Process Control, Hypothesis Testing, ANOVA, Chi-Square tests, F test, DOE. • Supply Chain - Demand Planning, Inventory Planning, Logistics Planning, Purchasing and Procurement, Forecasting, Scheduling. • Operations Research - Linear Programming, Mixed Integer Programming, Network Optimization, Heuristic Optimization, branch and bound, Tabu search, Simulated Annealing, Greedy Algorithm, GRASP, KNN, Decomposition algorithm. • Data Visualization - Tableau, ggplot (R), seaborn, matplotlib (python) • Data Analysis - Excel, SQL, Data Mining, Predictive Modelling, Multi-Regression models, Classification, CART, Boosting, Random Forest, Support Vector Machines, Time Series, ARIMA, SARIMA, NLP.