Shiva Jain

Range Sales Improvement: Developed implicit product recommendation model using Collective Matrix Factorization model. Implemented quarterly refresh pipeline for generating new product recommendations, target quantities, and selling stories. Achieved 28% incremental sales from initial pilot and 19% sales uplift from All India Pilot. Coverage Expansion: Created framework to identify and prioritize new store opportunities using Google Places API. Prioritized opportunities by integrating grid potential and geo-spatial POI data with XGBoost. Organic Search Rank Classification: Investigated factors influencing organic search rank of the products listed in Amazon Marketplace. Created rank bins to classify the product rank for only non branded keyword search. Key drivers for search rank were Sales(37%), Content(16%), Reviews(15%) and Price(14%). Document Chatbot: Developed a summarizing tool as part of a GEN AI project to condense document data efficiently. Tool encompasses NLU, dialogue state tracking, policy learning, and NLG modules.

Revenue Forecasting: Developed end-to-end Time Series Predictive model using XGBoost forecaster. Facilitated PnL team in optimizing annual budget for advertisements and promotions. Achieved average 10% deviation between predicted and actual forecast. Consumer Price Elasticity: Created log-log regression models to assess price change effects on consumer demand. Observed the price elasticity ranging from -0.37 to -5.