---
title: "Sarthak Pansuria - Business Intelligence Engineer in New York City Metropolitan Area | Tal"
description: "Meet Sarthak Pansuria, Business Intelligence Engineer & Data Analyst | 4+ Years Driving Healthcare & Insurance Insights with SQL, Machine Learning & Cloud Technologies based in New York City Metropolitan Area. AI stack includes cursor and claudecode. Explore public work links including github."
image: "https://tal.club/meet/sarthak-pansuria/share-image"
---

# Sarthak Pansuria on Tal

## Headline

Business Intelligence Engineer & Data Analyst \| 4\+ Years Driving Healthcare & Insurance Insights with SQL, Machine Learning & Cloud Technologies

## About

I am a results\-driven Business Intelligence Engineer and Data Analyst with over 4\+ years of experience specializing in healthcare, insurance, and fintech domains\. I excel at leveraging SQL, Python, Snowflake, and advanced machine learning techniques to build data\-driven solutions that optimize operational efficiency, enhance decision\-making, and reduce costs\. My expertise includes designing and automating ETL processes, developing interactive dashboards with Tableau, Power BI, and Looker, and collaborating cross\-functionally with stakeholders and actuarial teams to create predictive models that deliver measurable business impact\. Currently, at Elevance Health, I focus on healthcare data analytics to improve patient outcomes, reduce claim processing times, and detect fraud using data mining and machine learning\. Passionate about transforming raw data into actionable insights, I combine technical proficiency with strong communication skills to help organizations thrive in data\-driven environments\.

## Location

New York City Metropolitan Area

## AI stack

cursor

claudecode

## Work experience

Business Intelligence Engineer at Elevance Health, May 2023 \- Present · 3 yrs 4 mos, New York, United States, •Developed and deployed data\-driven solutions for predictive analytics, optimizing healthcare service offerings and reducing claim processing times by 17%, leveraging SQL and Python\. • Designed interactive dashboards using Tableau and Power BI to track patient outcomes, improving decision\-making for health care providers and increasing operational efficiency by 15%\. • Automated ETL processes for healthcare claims data, enhancing data accuracy and reducing data retrieval time by 20% through cloud\-based platforms like AWS and Snowflake\. • Led data exploratory analyses for patient readmissions, decreasing hospital readmissions by 7% using machine learning algorithms and predictive analytics\. • Collaborated with cross\-functional teams, including product and engineering, to streamline data workflows using Jira within an Agile framework, ensuring project milestones were met on time\. • Developed healthcare compliance reports for regulatory bodies, ensuring data integrity and meeting stringent healthcare standards with 100% accuracy using SQL and data visualization\. • Collaborated with senior data analysts to refine predictive models for insurance risk assessments, reducing patient claims fraud by 10% through data mining and machine learning techniques\.

Data Analyst at Mindtree, Sep 2020 \- Aug 2022 · 2 yrs, India, •Engaged with internal stakeholders to gather data requirements for patient demographics and claim analysis, ensuring alignment across departments and improving data quality by 10% through Salesforce CRM and ETL tools\. • Analyzed and cleaned large datasets related to patient demographics, improving data quality and accuracy by 12% using Python and R for statistical analysis\. • Created custom reports using Excel and Power BI to track operational metrics, reducing reporting time by 15% and increasing visibility into healthcare service performance\. • Developed and implemented data models to assess insurance claim risks, improving claim approval efficiency by 15% through SQL and predictive analytics\. • Designed business intelligence dashboards in Power BI to track customer segmentation and insurance policy performance, leading to a 12% increase in cross\-selling opportunities\. • Designed and deployed Looker dashboards to monitor customer segmentation and fraud detection patterns, reducing fraudulent claims by 10% through data visualization\.

## Education

Master of Science \- MS, Computer Science, UMass Boston

Bachelor of Engineering \- BE, Information Technology, Pandit Deendayal Energy University

## Public links

- github: https://github\.com/sarthakpansuria

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

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