I’m looking for a role where I can work on impactful data/ML problems, build scalable production solutions, and continue growing technically. I value strong engineering culture, ownership, collaboration, work-life balance, flexibility, and opportunities to learn and contribute at scale.
Looking for a job
Deepanshu Negi
@deepanshunegi
Data Scientist specializing in production-ready ML and GenAI automation for healthcare insurance.
IndiaWhat I'm looking for
I’m a results-driven Data Scientist with 6+ years of experience delivering end-to-end machine learning solutions across healthcare insurance, life sciences, and digital platforms. I build scalable data products and automate complex workflows to extract actionable insights from structured and unstructured data, with a strong focus on production-grade deployments.
Recently at Tiger Analytics, I designed and deployed an automated pet insurance claim adjudication pipeline using OCR, Azure Durable Functions, and GPT-based GenAI—improving auto-adjudication from 19% to 60%. I also led GenAI integration for document ambiguity, boosting adjudication confidence by 25%, and built invoice extraction workflows to improve speed and accuracy; earlier, at OPTUM/UnitedHealth Group, I delivered real-time recommender systems (CTR +20%), automated RTO scoring (manual effort -50%), and a delivery capping model projected to save ~$2M.
Experience
Work history, roles, and key accomplishments
Current
Designed and deployed an automated pet insurance claim adjudication pipeline using OCR, Azure Durable Functions, and GPT-based GenAI, increasing automation from 35% to 50%. Improved invoice extraction speed/accuracy, automated policy-pet matching for deductible/co-pay rules, and increased adjudication confidence by 25% via GenAI handling of document ambiguity.
Built and deployed ML solutions for healthcare insurance workflows, reducing manual effort and improving decision-making accuracy. Developed targeting and real-time recommender systems (CTR +20%), automated RTO scoring (manual effort -50%), created a delivery capping model with ~$2M projected savings, and implemented NLP classification to extract behavioral insights.
TS
Delivered production ML systems for Life Sciences clients, collaborating on requirements, technical architecture, model development, and deployment using Agile practices. Applied regression/classification and statistical analysis (including EDA and tuning) to predict suitable patients for clinical trials, and used PCA/t-SNE and clustering to derive insights from large biomedical datasets.
Education
Degrees, certifications, and relevant coursework
GT
Galgotias College of Engineering & Technology
Engineering in Information Technology, Information Technology
2015 - 2019
Grade: 72.9%
Studied Engineering in Information Technology from 2015 to 2019, achieving a score of 72.9%.
SM
St. John’s Sr. Sec. School, Meerut
Intermediate, Intermediate
2013 - 2014
Grade: 90%
Completed Intermediate education from 2013 to 2014 with a score of 90%.
Availability
Looking for a job
Location
IndiaAuthorized to work in
Salary expectations
50k+ USD
Social media
Job categories
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