Sparsh Lamba
@sparshlamba
Data Scientist with expertise in machine learning and Generative AI.
What I'm looking for
I am a Data Scientist with over 3 years of hands-on experience in developing data-driven analytics and machine learning solutions. My journey has been marked by a commitment to applying statistical modeling and predictive algorithms to solve complex business problems. I excel in translating research into production-grade systems, ensuring that insights are actionable and impactful.
At UnitedHealth Group, I have contributed to various projects, including the development of a RAG-based claims intelligence assistant and a predictive health deterioration initiative. My work has not only improved predictive accuracy but also enhanced operational efficiency, enabling proactive interventions in healthcare. I pride myself on being a cross-functional team player, known for my problem-solving attitude and dedication to timely delivery.
Experience
Work history, roles, and key accomplishments
Data Scientist
UnitedHealth Group
Mar 2024 - Present (1 year 4 months)
Contributed to a POC on RAG chatbot to support claim adjudication and internal upskilling, built using Azure AI Search for vector indexing and semantic + hybrid search over claim documentation. Integrated with OpenAI's reasoning model, o3-mini, to provide clear, well-detailed reasoning-based responses.
Data Scientist
UnitedHealth Group
Mar 2024 - Present (1 year 4 months)
Conducted in-depth statistical analysis of high-cost musculoskeletal (MSK) conditions using large structured medical datasets, uncovering various cost drivers. Developed and deployed a predictive algorithm to forecast member health deterioration, enabling proactive interventions and smarter care allocation.
Associate Data Scientist
UnitedHealth Group
May 2022 - Present (3 years 2 months)
Contributed to a highly scalable, data-driven call agent evaluation system, increasing processing capacity 50x (20K to 1M+ calls/day). Designed a novel heuristic-based algorithm (Call Closing) to evaluate agent performance, driving actionable business decisions.
Education
Degrees, certifications, and relevant coursework
SRMIST
Bachelor of Technology - B. Tech, Computer Science
Grade: 9.7/10.0
Studied Computer Science at SRMIST, focusing on core concepts and practical applications. Achieved a high GPA, demonstrating strong academic performance in the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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