Swapnil Sharma

Data Science Intern @Carlson Analytics Lab

Minneapolis, MN, US

Graph-Based Fraud Detection – U.S. Public Health Program-• Designed a scalable pipeline using Neo4j and Python to uncover high-risk fraud clusters through community detection and centrality analysis across 5M+ healthcare records.• Integrated entity resolution and link prediction techniques to enhance early fraud detection, improving investigative accuracy and prioritization.NCAA NIL Policy Impact Analysis- • Led statistical evaluation of post-policy performance changes using causal inference and multivariate regression to assess the impact of the NIL ruling on NCAA athletes.• Created compelling visual narratives to communicate findings to academic stakeholders.Warehouse Expansion Strategy – Agricultural Supply Chain Optimization-• Led end-to-end analysis for a Minnesota-based agricultural firm to identify optimal warehouse locations for entering a $20M market.• Applied Python-based geospatial clustering and distance-based optimization to recommend warehouse sites aligned with customer demand zones.• Built interactive Tableau dashboards to visualize service coverage, delivery lead times, and cost trade-offs, supporting executive decision-making.• Final recommendations improved supply chain efficiency and reduced average delivery time, contributing to a projected 15–18% logistics cost reduction.

UMN Carlson School of Management

Master of Science - MS, Business Analytics

Kalinga Institute of Industrial Technology, Bhubaneswar

BTech - Bachelor of Technology, Electronics and Telecommunications