Sr. Data Scientist & AI Product Lead | May 2021 - Present
UnitedHealth Group | Gurgaon
Led a team in building an end to end pipeline involving digitisation of large unstructured documents using
Azure Document Intelligence and LLMs; RAG pipeline development using Azure Search Services and
Mongodb; and API endpoints to showcase results on a UI. This helped in mapping of policy information from
contracts to databases with 85% accuracy resulting in savings of 4-5 hours per policy for 500K policies or
$35M.
Currently working on solving large data problems with quantum computing.
Led a team to develop a capability that digitizes tables in various documents into a knowledge graph,
improving data accessibility by 82%.
Designed and deployed ML models to extract KPIs from PBM contract documents, reducing manual effort by
2-4 hours per document.
Developed a document segmentation model combining OpenCV and NLP features, achieving 90% accuracy in
object classification across document images.
Built a semantic search engine for contracts using MongoDB and clustering, enhancing search efficiency by
90%.
Deployed and developed all solutions from end to end in Azure using Kubernetes, GitHub and Azure Services.
Filed 3 patents: DigiSense (03/2023), LayoutSense (10/2022), TableSense (05/2022).
Technologies Used: Python, TensorFlow, MongoDB, OpenCV, NLP , RNN, Siamese Networks, Azure Services,
LLMs(Large Language Models), GitHub, Dockerization, Fast API, Gemini, GPT
Assistant Manager – Business Analytics | Sep 2019 - Apr 2021
Altruist Technologies | Bangalore
Implemented advanced analytics and BI solutions, identifying opportunities that boosted business
performance by 72%.
Proposed and executed outbound customer service strategies, increasing customer retention by 35%.
Developed KPIs to improve associate productivity, resulting in a 85% performance enhancement.
Technologies Used: Tableau, SQL, Python, Excel
 

ML Engineer | Oct 2018 - Sep 2019
Koireader Technologies | Gurgaon

Built a logistics product leveraging NLP and Computer Vision to extract data from PDFs, reducing manual
processing time by 0.5 hours per document. Transformed By Uplers
Designed ML pipelines for extracting and transforming logistic data into actionable KPIs, improving reporting
accuracy.
information.
Delivered outputs in readable formats, enhancing client usability multiple folds with the access to unseen
Technologies Used: Python, NLP , Computer Vision, TensorFlow

1. Filed 3 patents with UnitedHealth Group
2. Received Inventor Award for innovative contributions at UHG

• Masters of Business Administration | May 2026
  Indian Institute of Management Ahmedabad | Ahmedabad
• PGP in Business Analytics | Nov 2018
  Praxis Business School | Bangalore
• Actuarial Sciences | Sep 2017
• IFOA | UK
• B.Sc. Mathematics (Hons) | May 2016
• Delhi University | Delhi
• HSC (Science) | Apr 2013
• Welham Boys’ School | Dehradun
• SSC | May 2011
  St. John’s Sr. Sec. School | Gola Gokarannath