---
title: "Ram Parikh - Senior Data Scientist in Bengaluru | Tal"
description: "Meet Ram Parikh, AI & Data Science | Purdue University | CFA (All levels cleared) based in Bengaluru. AI stack includes anthropic apis, claude code, and github copilot."
image: "https://tal.club/meet/ram-parikh/share-image"
---

# Ram Parikh on Tal

## 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

[View the original profile](https://tal.club/meet/ram-parikh)

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