- Recipient of Innovation Award for developing a cutting-edge Global Capacity Planning solution using Mixed-Integer Nonlinear Programming (MINLP) and Mixed-Integer Linear Programming (MILP).

– Mathematical modeling of customers’ requirements to minimize cost or maximize performance of strategic sourcing.– Used mix of metaheuristic & exact algorithms to solve Mixed Integer Linear Models (MILP) using C#, ASP.NET.- Identified & Improved the performance of the algorithm by 25% using parallel computing.– Worked with other developers to implement REST APIs & improved User Experience using JavaScript, CSS, OOP.

The Industrial Assessment Centers (IAC) are established by the United States Department of Energy (DOE) to spread ideas relating to industrial energy conservation. The IAC program is administered through the Advanced Manufacturing Office under the Office of Energy Efficiency and Renewable Energy. Currently, there are 31 schools across the country that participate in the IAC Program. Clemson University is one of these. The followings are my brief responsibilities.- Mathematical Model in Python for Electricity Price Setting, Optimized Profits & Emissions by an Avg 10%.- Analyzed Energy Consumption Patterns of SMEs & Achieved an Avg $140,000 Annual Savings.- Prepared Audit Reports including Engineering Data Analysis, Cost Savings, & Payback Periods.- Served as Team Leader of 20 Students and Managed Auditing Operations.- Stochastic Modelling in Julia of Supply Chain Network & Facility Location, 7% Delivery Cost Reduction.

Indraprastha Gas Limited is the India's largest natural gas distribution company located in the National Capital Region (NCR), various other prime locations in India. It currently serves more than 1 million vehicles for Compressed Natural Gas (CNG) through more than 550 gas stations. It severs around 1.4 million domestic & industrial customers for Piped Natural Gas (PNG). - Team Lead of SAP Functional Upgrade for MM improving operation efficacy by 20%.- Integrated RFID with SAP for Inventory Monitoring, Reduced Inventory Counts by 30%.- Benchmarked Inventory Stock Levels using Monte Carlo Simulations of Inventory Models in Python.- Optimized the Obsolete MRO Inventory by 20% by PCA of SKU’s Characteristics and Life Cycles.- Designed daily Transportation & Logistical Operations for Outbounds across Warehouses.- Improved Inventory Accuracy by MIS Reports in Tableau Dashboards using FSN, ABC, Pareto Analysis.- RFQ, RFP, & Procurement for Material and Services Procurement.- Metrics Design for SLA of Vendors and Internal Customers.- Implemented Material Requirement Planning (MRP) in ERP on 20% C type items.- Formulated Inventory Management Policy for Inventory worth $25 Million in collaboration of Team Managers.- Forecasting monthly stocks of more than 8,000 SKUs using Exponential Smoothing in Excel.

- Process flow understanding of Oil identification to Oil Production on-shore drilling.- Identification of operational bottlenecks