---
title: "Santosh Shukla - Data Analyst in Noida | Tal"
description: "Meet Santosh Shukla, Data Analyst @Policy Bazaar | Fintech | US Healthcare | Economics & Data Science Graduate | based in Noida. AI stack includes antigravity, codex, and opencode."
image: "https://tal.club/meet/santosh-shukla/share-image"
---

# Santosh Shukla on Tal

## Headline

Data Analyst @Policy Bazaar \| Fintech \| US Healthcare \| Economics & Data Science Graduate \|

## About

Innovaccer empowers healthcare decisions through data\-driven insights\. By leading analytics projects, the team enables solutions for clinical and operational challenges, such as reducing ER visits and cutting costs by $1\.2M annually\. Collaborative efforts on A/B testing and dashboard creation ensure optimal tracking of KPIs, including readmission trends and utilization\. Equipped with a Master's in Data Science from the University of Hyderabad and a Bachelor's in Economics from Jamia Millia Islamia, contributions span data cleaning, visualization, and strategic insight generation\. Values align with transforming complex datasets into actionable strategies for meaningful organizational impact\.

## Location

Noida

## AI stack

antigravity

codex

opencode

## Work experience

Data Analyst at PolicyBazaar\.com, Oct 2025 \- Present · 11 mos, Gurugram, • Own analytics for the PB Partners marketplace, supporting the retention and growth of a \~45K\+ partner base that contributes a significant share of business and identified key churn drivers across early activation delays, transaction drop\-offs, and service friction, enabling targeted interventions that reduced monthly partner attrition by 5\.5%\. • Designed and evaluated partner retention and reactivation strategies \(including Samadhan\) using pre/post and cohort analysis, driving 12% uplift in reactivated partners\. • Built and maintained leadership dashboards tracking partner health \(active partners, churn %, GMV per partner, policies per partner, reactivation %, and campaign impact\) for weekly business reviews\. • Automated recurring business and performance reporting \(daily/weekly/monthly\) by building SQL pipelines, Power BI dashboards, and scheduled data refreshes, reducing manual reporting effort by 60%\+ and improving data freshness\. • Designed data workflows for cleaning, validation, and transformation, ensuring consistent and reliable metrics across multiple source systems\. • Engineered custom Google Sheets scripts and data connectors to automate weekly campaign performance tracking for 12 regional teams, maintaining real\-time visibility into engagement KPIs and reducing manual effort, enabling streamlined regional reporting, comprehensive historical analysis, and rapid identification of high\-impact initiatives\.

Data Engineer at Innovaccer, Sep 2024 \- Oct 2025 · 1 yr 2 mos, India, \* Built and maintained scalable healthcare data pipelines to ingest, transform, and unify data from multiple sources including EHR, claims, labs, encounters, providers, and patient demographics\. \* Managed end\-to\-end data processing across L0 to L5 data layers, covering raw ingestion, data standardization, transformation, enrichment, validation, and analytics\-ready datasets\. \* Worked with AWS, S3, PostgreSQL, Snowflake, SQL, and ETL/ELT workflows to support data ingestion, storage, transformation, pipeline monitoring, and data quality checks\. \* Automated recurring data validation, reconciliation, and pipeline monitoring processes to identify missing records, schema mismatches, mapping issues, and source\-to\-target inconsistencies\. \* Integrated Copilot\-assisted development and automation workflows to improve pipeline debugging, SQL development, documentation, RCA, and faster resolution of data engineering issues\.

Data Science Intern at The Sparks Foundation, Feb 2024 \- Sep 2024 · 8 mos, Remote, • Successfully addressed end\-to\-end business challenges for diverse user categories \(Recurring, New, Reactivated\), implementing tailored user journey campaigns that resulted in a 30% surge in user engagement compared to previous methods\. • Conceptualized cohorts and strategically applied discounts to amplify user engagement, resulting in a notable 18% increase in retention rates\. • Extract actionable insights from data, including funnels, segments, and trends, to comprehend user behavior and optimize for growth, leading to a 10% improvement in conversion rates\.

## Education

Master's degree, Data Science field, University of Hyderabad

Bachelor's degree, Economics, Jamia Millia Islamia

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

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