Ajit Kumar Voraboina

Demand Forecasting (ML models: ARIMA, DeepAR, N-BEATS, Theta, Prophet): - Optimized production planning for textile business of multinational conglomerate with a business impact of $14.7 Mn - Leveraged predictive analytics to enhance inventory management, supply chain efficiency, market allocation and dispatch planning ​ - Achieved accuracy of 97% for high volume SKUs with end-to-end tool automation providing 3-month sales projections - Parallelized AWS batch process with dockerised and modular code base

- Reduced fleet acquisition costs by 33% and increased rider retention by 28% for On-demand/ Q-commerce partner firms - Led Data Management Strategy & Data Schema Design; Identified key KPIs, rider patterns to drive feature improvements & prioritization

Pricing and Revenue - Accomplished overall impact of $21.2 Mn on beer revenue/share in US, Mexico, Columbia and Chile - Reduced run time complexity by 70%+, engrafting an in-house distributed computing framework - Refine Price Architecture of global SKUs, cataloguing 25+ conjoint studies Promotions Optimization - Boosted MACO(profit) by 30% for top UK retailers (TESCO, ASDA) through intelligent promotions - LTSM forecasted competitor prices, category volumes; 92.9% volume prediction accuracy using DNN