Sparsh LambaSL
Open to opportunities

Sparsh Lamba

@sparshlamba

Data Scientist with expertise in machine learning and Generative AI.

India
Message

What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data science and analytics.

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

UG
Current

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.

UG

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.

UG

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

SR

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.

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