Contract-based data scientist for Microsoft and GE Appliances
Specialized in forecasting econometrics and optimization algorithms
Served on the Learning Evolutionary Algorithm Framework (LEAF) team – dedicated to proprietary evolutionary algorithms for high-dimensional optimization problems
Demand Management Planning and Forecasting (Contractual)
Microsoft
Project Description:
Provided end-to-end Machine Learning solutions regarding business planning and forecasting. Included creation of ML workflows in Azure, writing forecasting algorithms in Python, and designing interactive dashboards in Power BI
Automated previously manual reporting via Python scripting, Power BI, Azure, and Excel
Product Pricing Intelligence and Optimization (Contractual)
General Electric Appliances
Project Description:
Analyzed sales and pricing data to create an algorithm designed for product pricing optimization and price-elasticity monitoring.
Built flexible sales-forecasting models via a Python back-end and assisted in creating an application for the corporate stakeholders which applies the price optimization algorithm