Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Data Scientist with 4 years of experience building machine learning, predictive analytics, and Generative AI solutions in healthcare and enterprise environments. Currently driving claims analytics, risk adjustment modeling, population health initiatives, and LLM-powered applications at UnitedHealth Group. Skilled in Python, PySpark, Databricks, Snowflake, AWS, and MLOps, delivering measurable improvements in risk adjustment accuracy, cost optimization, forecasting, and operational efficiency while maintaining HIPAA-compliant responsible AI practices.…Data Scientist with 4 years of experience building machine learning, predictive analytics, and Generative AI solutions in healthcare and enterprise environments. Currently driving claims analytics, risk adjustment modeling, population health initiatives, and LLM-powered applications at UnitedHealth Group. Skilled in Python, PySpark, Databricks, Snowflake, AWS, and MLOps, delivering measurable improvements in risk adjustment accuracy, cost optimization, forecasting, and operational efficiency while maintaining HIPAA-compliant responsible AI practices.

HEMANTH KUMAR

Data Scientist, AI Engineer, Data Engineer, +3





Data Scientist with 4 years of experience building machine learning, predictive analytics, and Generative AI solutions in healthcare and enterprise environments. Currently driving claims analytics, risk adjustment modeling, population health initiatives, and LLM-powered applications at UnitedHealth Group. Skilled in Python, PySpark, Databricks, Snowflake, AWS, and MLOps, delivering measurable improvements in risk adjustment accuracy, cost optimization, forecasting, and operational efficiency while maintaining HIPAA-compliant responsible AI practices.…Data Scientist with 4 years of experience building machine learning, predictive analytics, and Generative AI solutions in healthcare and enterprise environments. Currently driving claims analytics, risk adjustment modeling, population health initiatives, and LLM-powered applications at UnitedHealth Group. Skilled in Python, PySpark, Databricks, Snowflake, AWS, and MLOps, delivering measurable improvements in risk adjustment accuracy, cost optimization, forecasting, and operational efficiency while maintaining HIPAA-compliant responsible AI practices.

Available to hire

Data Scientist with 4 years of experience building machine learning, predictive analytics, and Generative AI solutions in healthcare and enterprise environments. Currently driving claims analytics, risk adjustment modeling, population health initiatives, and LLM-powered applications at UnitedHealth Group.

Skilled in Python, PySpark, Databricks, Snowflake, AWS, and MLOps, delivering measurable improvements in risk adjustment accuracy, cost optimization, forecasting, and operational efficiency while maintaining HIPAA-compliant responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Data Scientist at UnitedHealth Group

March 1, 2025 - Present

Architected predictive healthcare analytics solutions using Python, PySpark, Databricks, and Snowflake across 120M+ claims records, improving risk adjustment accuracy by 28% while supporting CMS reporting. Developed ensemble models (XGBoost, scikit-learn) to identify high-cost member populations, reducing projected healthcare expenditures by $18M annually. Built population health forecasting frameworks with Apache Spark and Delta Lake, improving care management intervention effectiveness by 32%. Implemented LLM-based Retrieval Augmented Generation (RAG) with vector search to accelerate clinical documentation analysis by 55% while maintaining HIPAA compliance. Established MLOps standards using MLflow, Docker, Kubernetes, and CI/CD, cutting deployment timelines from weeks to days with 99.5% production reliability. Delivered Power BI executive dashboards and healthcare cost analytics, improving operational performance by 24%.

Data Scientist at Aspire Technolab

January 1, 2021 - July 1, 2023

Engineered scalable ML pipelines using Python, SQL, Pandas/NumPy, and Apache Spark to process 15TB+ enterprise data, improving predictive performance by 31%. Built classification/regression solutions with TensorFlow, PyTorch, and XGBoost to improve forecast precision by 27%. Created cloud analytics platforms using AWS S3, AWS Glue, Snowflake, and ETL/ELT architectures, reducing data preparation effort by 43% and improving reporting consistency. Delivered transformer-based NLP applications with prompt engineering to automate document intelligence and reduce manual review workloads by 58%. Developed Tableau/Power BI dashboards and KPI reporting ecosystems to improve executive visibility and accelerate decision cycles by 35%. Led model evaluation, monitoring, and governance using MLflow and responsible AI practices, improving production stability by 29%.