Headline

Healthcare QA Specialist → Azure Data Engineer | SQL | ADF | Synapse | ADLS Gen2 | PIMS, Diamond, Actisure, Globalcare | DP-700 Certified

About

Bad healthcare data doesn't just cause errors — it causes denied claims, compliance risk, and providers who don't get paid on time. I've spent 5+ years making sure that doesn't happen. At Sagility, I lead quality audits and SLA governance for provider data across four platforms — PIMS, Globalcare, Diamond, and Actisure — for a team of 22. My job is simple to state and hard to do: catch the errors before they become someone else's problem. Along the way I stopped just finding problems and started engineering them away: Built a fee schedule verification tool (HTML + VBA) that validates incoming files against 27 required column headers automatically — turning a manual, error-prone check into a one-click process Designed operational dashboards and decision trees now used by my team to route insurance and healthcare cases faster and more consistently Automated repetitive QA workflows that used to eat hours of manual review time every week That instinct — fix the process, not just the output — is what's pulling me toward Data Engineering. I'm currently building hands-on skills in Azure Data Factory, Synapse, and ADLS Gen2, preparing for the DP-700 (Fabric Data Engineer Associate) certification, and finishing my M.Sc. in Data Science at Kalasalingam Academy of Research and Education. I'm not new to data problems. I'm just moving further upstream to solve them at the source.

Location

Bengaluru

AI stack

antigravity

claude code

gemini

openai

Work experience

Specialist at Sagility, Feb 2021 - Present · 5 yrs 9 mos, Bengaluru, Karnataka, India, Oversee quality audits and SLA governance for provider data across 4 claims platforms (PIMS, Globalcare, Diamond, Actisure), leading a team of 22 Synchronize and validate provider data across multiple claims systems daily, ensuring 98% data accuracy and eliminating downstream errors that impact member care and provider payments Built and deployed a fee schedule verification tool (HTML + VBA) that validates files against 27 required column headers, cutting manual review time by 20% and reducing header-mismatch errors to near zero Designed interactive decision trees and process flowcharts for the Diamond and PIMS/PRM platforms, reducing case-routing errors and onboarding time for new team members Automated repetitive QA workflows using Python and VBA, saving the team an estimated 4 hours per week previously spent on manual checks Recognized with the Top Gun Award for performance and process improvement contributions

Data Science Intern at LetsGrowMore, Jan 2023 - Feb 2023 · 2 mos, India, Business case study, building machine learning product

Machine Learning Intern at Feynn Labs, Dec 2022 - Mar 2023 · 4 mos, Guwahati, Assam, India, responsible for the planning, organizing, and directing as well as managing and a thorough evaluation on a daily basis of the tasks within the organization/company. AI in Education: Projects under Development: Smart Schools, FeynnAI: Learning Assistant, Adaptive Question System, Segmentation of Foundational Knowledge Blocks. AI in Economy: Product/Service: Predictive Market Analysis, Market Analysis and Segmentation. Projects under Development: Product Segmentation, Micro-Macro Economic Forecasting, Consumer Spending Behaviour Prediction System.

Education

Full stack data science bootcamp 2.o, Data science, ineuron.AI

Post graduation program in Full stack Data science, Data science, Letsupgrade