Ajit Kumar Voraboina

Lead Data Scientist @Valiance Solutions

Bengaluru, IN

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; Designed and implemented Machine Learning models to forecast B2B demand for viscose fiber​​- Leveraged predictive analytics to enhance inventory management, supply chain efficiency (by change-over optimization), market allocation and dispatch planning ​- Achieved accuracy of 97% for high volume SKUs, 85% accuracy for low volume ones (intermittent demand)- Built end-to-end automated tool for business users, providing 3-month sales projections and identifying key drivers (using SHAP analysis); Built interactive visualizations via Streamlit app to derive actionable insights - Enhanced scalability within and across projects through a Dockerised and modular code base in Python​- Introduced parallelized AWS batch processing to ensure process efficiency and optimal resource utilizationSchedule Optimization- Directed scheduling decisions and optimized movie-slot scores for largest Indian media conglomerate- Optimized TRPs/GRPs using PULP, Gurobi & Pyomo, incorporating constraints, resulting in 34% improvement- Ensembled ML models (RFs, NNs, SVM, GBT) on historical data; Identified lead indicators using ANOVA

Indian Institute of Management, Calcutta

PGDBA

Indian Institute of Technology, Bombay

Bachelor of Technology - BTech, Engineering Physics