Headline

AI & Data Science | Purdue University | CFA (All levels cleared)

About

Curiosity-driven learner with interest in leveraging data and AI to solve challenging problems. Currently architecting scalable, high-impact agentic systems to drive rapid, strategic solutions within the US health insurance landscape. Interests: Machine learning, Operations research, Heuristic algorithms, Financial markets, Quantitative finance, Economics, Corporate finance, Agentic workflows, Vibe coding ("AI assisted coding")

Location

Bengaluru

AI stack

anthropic apis

claude code

github copilot

mcp

Fireflies.ai

PydanticAI

Work experience

Senior Data Scientist at Teragonia, Jul 2026 - Present · 4 mos, Bengaluru

Lead Data Scientist at CVS Health, Sep 2019 - Jul 2026 · 6 yrs 11 mos, India, Role: • Deploy end-to-end data science solutions for contracting at Aetna, covering ideation, development, implementation, and experimentation. • Leverage tools like GitHub, Jenkins, and Airflow to build and maintain automated CI/CD pipelines, ensuring seamless model deployment and reliable workflow orchestration. • Apply optimization, statistical modelling, and machine learning to solve complex problems • Articulate complex algorithmic decisions and key performance metrics to stakeholders and senior management Key Achievements: • Building a production-ready chatbot powered by multi-agent Text-to-SQL framework, eliminating traditional dashboards by delivering actionable cost trend insights from BigQuery in seconds via natural language queries. • Created a low latency self-service tool using operations research techniques to optimize contract structures for hospitals and assist network teams in contract negotiations • Built a suite of competitive intelligence products to benchmark contract performance across hospitals (using Aetna claims) and payers (using competitor data from external vendors) • Leveraged statistical and machine learning models to flag anomalous claims and predict key fields such as business lines, product type and diagnosis groups and maintained pipelines • Mined claims and clinical data national level and identified opportunities for value-based care as opposed to fee-for-service contracts to improve quality of care

Analytics at Blue Cross Blue Shield of Massachusetts, May 2019 - Sep 2019 · 5 mos

Data Scientist at Experian, Jul 2018 - May 2019 · 11 mos, Carmel, Indiana, Member of Data Science Solutions Team - Analyse credit data of 300 Million consumers and generate ad hoc reports - Predict future derogatory behavior and study interactions between 20+ industries using machine learning algorithms - Create better predictive and understandable variables from interactions identified - Maintain, develop and audit the data reporting and intelligence product (Premier Attributes) - Identify trends in consumer data to help clients learn about their customers and drive new business Tools - SAS, R, Python, IBM Netezza, Hive, Hadoop, Unix

Grader at Purdue University, Aug 2016 - Dec 2017 · 1 yr 5 mos, West Lafayette, • Grading assignments and tests of 130 students for the course Materials and Processes – I (MET143) • Analyzing performance of the students and providing weekly reports to the professor

Education

CFA, Finance, General, CFA institute

Master’s Degree, Industrial Engineering and Operations Research, Purdue University