Data Engineering/Data Scientist/AI/Machine Learning/Data Platform

A seasoned and result driven Senior Manager of Data Scientist/Data Engineer with over 20+ years’ experience in Information Technology and hands-on expertise in building data solutions in a Multi cloud ecosystems (Azure/AWS GCP), Data Lake, Data Factory, SQL Databases, Power BI, ETL and related technologies/environments working for Fortune 100 clients like United HealthCare, Microsoft, Disney amongst various others.

• Translated business needs into comprehensive blueprints and roadmaps for data and analytics

• Collaborated with business leaders to prioritize use cases and drove development as a product owner for Data & Analytic delivery teams

• Over 10 years of experience leading data science and AI initiatives, including end-to-end model development, deployment, and governance—primarily in the healthcare domain.

• Expertise in building and fine-tuning machine learning and deep learning models using Python, TensorFlow, PyTorch, and Scikit-learn, with a strong foundation in statistics and algorithm development.

• Proven leadership in mentoring data science teams, overseeing project delivery, and aligning data strategy with key business objectives like Star rating improvement, care gap reduction, and operational efficiency.

• Pioneered generative AI and retrieval-augmented generation (RAG) solutions to revolutionize healthcare operations and enhance member experience.

• Deep understanding of agentic workflows, enabling autonomous task execution through AI agents in production environments.

• Strong communicator capable of translating complex technical insights into clear narratives for executive stakeholders and cross-functional partners.

• Experience with MLOps, model monitoring, and regulatory governance to ensure ethical, secure, and compliant deployment of AI solutions.

• Set up and manage EDI claims for multiple payers and mco organizations to submit claims to CMS.

• Developed and maintained MDM data models, data dictionaries, Dashboard development using Power Bi and data map and data pipelines.

• Developed and deployed scalable machine learning models using TensorFlow, PyTorch, and Scikit-learn to support real-time predictive analytics in production environments.

• Built end-to-end data pipelines for both structured and unstructured data, enabling robust feature engineering and improved model accuracy.

• Partnered with data engineering and software development teams to embed AI models into enterprise-grade applications, ensuring seamless model inference and data flow.

• Designed and maintained MLOps workflows using CI/CD tools for automated training, validation, and deployment of ML models across cloud and on-prem environments.

SCORE CARD

Skills

Years of Experience

Overall IT Experience | SQL Databases | DB2

20+

Data Engineering | ETL 10+

Data Lake | Data Factory |Synapse Analytics|Neo4J 4+

Power BI | Power Query | DAX | SSIS | SSRS |MS Azure 4+

Medallion Architecture using Databricks/Unity Catalog 3+

Large-scale data warehouse|Medalion Architecture 8+

Azure|AWS|AI/ML|aws sagemaker |LLM|GCP-big query 5+

AWS Cloud Data Solution/Snowflake/DBT/fivetran|Databricks4+

Architecture|Design and Engineering | ML Deployment 6+

Tableau Dashboarding | Fabric|Docker|Kubernetes 3+

TensorFlow, PyTorch, or Scikit-learn, NLP 3+

• Deep understanding of agentic workflows, enabling autonomous task execution through AI agents in production environments.

• Strong communicator capable of translating complex technical insights into clear narratives for executive stakeholders and cross-functional partners.

• Experience with MLOps, model monitoring, and regulatory governance to ensure ethical, secure, and compliant deployment of AI solutions.