Summary
Arpan Banerjee is a data scientist with 6 years of experience translating complex data into measurable business impact, having driven over $20M in value through risk modeling, anomaly detection, and ML-powered solutions. He has improved product lifespan forecasts by 20%, uncovered ~$7M/year in upsell opportunities via clustering and benchmarking across 500+ clients, and directly influenced ~$13M in client sales through cross-functional analytics. Comfortable across the ML lifecycle and MLOps, he has cut lead enrichment costs by 70% by building an autonomous OpenAI-driven lead scoring agent and accelerated production releases using Docker and Jenkins. Arpan pairs rigorous statistical methods (Bayesian A/B, causal inference) with pragmatic tooling—Streamlit, Looker, Power BI, GCP—to deliver real-time dashboards and deployable models that reduce operational bottlenecks. Based in North Carolina with an MS in Business Analytics from UC Davis, he brings both deep technical fluency and a knack for turning prototypes into client-facing, revenue-generating products.
6 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Business Analytics, 3.87, Master of Science - MS, Business Analytics, 3.87 at University of California, Davis
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Jadavpur University