Senior Data Analyst with 7+ years of experience in Data Analytics and engineering, specializing in analytics, ETL automation, cloud migration, and dashboard development. I have expertise in Python, SQL, Power BI, SSIS, and Azure. Proven record of reducing reporting effort from 10 hours to 10 minutes, building pipeline to load 1M+ provider records and create dashboards, and leading a 2.5-year provider credentialing migration to Azure. Strong stakeholder management and experience presenting to VP-level customers.
Overview
8
years of professional experience
3
Certification
4
years of post-secondary education
Work History
Evolent Health
Pune
Senior Data Analyst
06.2021 - Current
Job overview
Automated the end-to-end generation of multiple daily provider credentialing reports using Python, SQL, and SSRS, reducing manual processing time from 10 hours per week to just 10 minutes per week by fully automating data extraction, validation, transformation, and scheduled delivery.
Set up stored procedures, table schemas, and a multi-script Python workflow to extract sanctioned/exclusion providers across 48 states and (OIG, SAM, Opt-Out), perform fuzzy-matching against our credentialing database using business rules, and automate the full ETL to reporting process via a BAT-triggered pipeline, cutting hours of weekly manual effort for the QA and compliance teams.
Built Address Sync Automation between two separate systems saving 120 hours monthly; created NPPES specialty scraper reducing manual effort by 40% weekly.
Built Provider QA package automation using Power Automate and integrated with Python, created tables, databases for the same cutting the manual process to fully automate saving 300 hours monthly.
Developed automated scripts and enhance existing pipeline as per business logics for multiple provider rosters with millions of records using Python, SSIS, and Azure to improve reliability and reduce remediation time increasing efficiency of load by almost 60%.
Lead SME for 2.5-year provider credentialing migration from SQL to Azure for a new vendor; managed mapping, cleansing, reconciliation, testing, and cutover with a team of 4.
Built 6+ enterprise Power BI dashboards using 1M+ provider records to surface credentialing and provider-ops insights, including cred, re-credentialing early-warning alerts, assignment log activity, 10/30/90-day letter compliance, NCQA QA error-code trends, and credentialing timeliness metrics.
Developed Power BI dashboards for operational and compliance teams to monitor provider data integrity, sanctioned-provider flags, in-out-of-network claim patterns, and overall provider performance, improving visibility and audit readiness.
Led the provider-data workstream for a new client implementation on Evolent's SaaS platform, delivering complex SQL reports, stored procedures, SSRS reporting packages, and automated data-load pipelines while supporting VP-level stakeholders with high-priority ad-hoc analytics.
Improved reporting reliability and automation practices, data quality contributing to a multi-year client contract renewal.
Built an automation workflow using Azure OCR to extract data from provider QA package image files and automatically compare it against SQL-based source-of-truth values, eliminating manual QA checks and deploying the process as a daily Azure Function on Azure App Services.
Numerator
Pune
Senior Data Analyst
10.2019 - 05.2021
Job overview
Processed and standardized millions of Walmart e-commerce records using Python and SQL, preparing clean product-level and pricing datasets for ingestion into Numerator's inhouse Pricing Intelligence platform.
Built automated ETL workflows to ingest and transform competitor pricing data captured by a 24/7 web-crawler, improving data freshness and pipeline reliability by 35%.
Built automated data ingestion and transformation pipelines for Walmart pricing datasets using Python and SQL, improving data freshness, reliability, and downstream availability for commercial analytics teams.
Developed pricing and sales dashboards with Power BI, DAX for Walmart to support commercial decisions like product sales, online-pricing, and customer demographics-based decisions.
Developed Python and SQL transformation scripts to normalize SKU attributes, pricing events, promotions, and competitor price points, reducing manual cleanup effort by 40%.
Collaborated with engineering and product teams to troubleshoot ingestion failures, optimize query performance, and enhance end-to-end data flow for downstream pricing strategy models used by Walmart's commercial teams.
Yosa Tech
Hyderabad
Business Analyst
04.2019 - 09.2019
Job overview
Managed EDI payer conversion and enrollment processes.
Built ETL workflows using SSIS and connect to UI dashboards with automated data integration.
Automated sanctioned provider detection using SQL and Python and fraud detection in-house model.
Accenture
Bengaluru
Application Development Associate
02.2018 - 02.2019
Job overview
Performed complex data wrangling, transformation, and validation using Python and SQL to prepare analytics-ready datasets for a major US mortgage-insurance client, improving accuracy of loan-level risk scoring, policy status tracking, and premium calculations across 500K+ active policies.
Developed automated data quality checks and reconciliation logic to detect anomalies in premium calculations, policy endorsements, claim submissions, and servicing updates, reducing manual investigation time by 40%.
Partnered with underwriting, risk, and servicing teams to deliver loan-level extracts, root-cause analyses, and pipeline enhancements that supported pricing adjustments, delinquency monitoring, and operational SLAs.
Education
KIIT University
Bhubaneshwar
B. Tech from Electrical & Electronics Engineering
03.2013 - 03.2017
University Overview
Elective - DBMS & OOPS
Lead speaker - Model United Nations (2014 - 2016)
Workshops - IIT Bombay - Ethical hacking, Create a mobile device from scratch (2015)