Senior Data Scientist experienced in delivering end-to-end AI/ML solutions across Supply Chain, Revenue Management, and Process Optimization. Skilled in building scalable pipelines, leveraging GenAI/LLM, time series forecasting, and causal analysis, combining technical expertise with deep business domain knowledge. Proven track record of driving actionable insights and enabling data-driven decision making across complex enterprise operations.
Built ML-based classification models to predict the efficacy of drugs against Tuberculosis (TB) strains. For a given patient's TB strain with specific mutations, the models predicted drug resistance or susceptibility, reducing reliance on time-consuming lab tests, and increasing the likelihood of effective treatment and patient survival
Corporate Recognitions: Received multiple awards for successful project deliveries, leading Recruitment and providing mentorship.
Guinness World Records: Served as a trainer in the record-setting event for the largest simultaneous solar lamp lighting @ IIT Bombay, 2019.