Keertan Surendhra

About Keertan Surendhra

As a seasoned Machine Learning Engineer, AWS Cloud Specialist, and AI enthusiast, I am…

Experience

1. Data Scientist

   Gainwell Technologies

   Jan 2024 — Present · Dallas, TX, US

   Machine Learning Development & Deployment:• Designed and deployed predictive models on AWS SageMaker and Glue to support Medicaid eligibility forecasting, enrollment risk scoring, and provider behavior modeling—reducing manual triage by 40% and improving member coverage accuracy by 20%.Scalable Data Pipelines & ETL Optimization:• Engineered robust ETL workflows using PySpark, pandas, and SQL to extract, transform, and load high-volume healthcare data (e.g, member eligibility, provider rosters, claims extracts) from on-premise and cloud systems (S3, Redshift); reduced monthly batch run time by 30% and improved data reliability for downstream analytics.MLOps & Automation:• Containerized and deployed models via Lambda and Step Functions with automated retraining triggers based on eligibility window updates and claims lag metrics; integrated with AWS CodePipeline for continuous delivery, enabling faster delivery of analytics to Medicaid program managers and compliance officers.Model Explainability & Validation:• Used SHAP and LIME for interpretability of high-risk eligibility denial models and claim denial classification, supporting audits and regulatory reporting under CMS guidelines; led quarterly model review sessions to ensure transparency and compliance.Data Governance & Security Compliance:• Implemented secure data tagging and lineage tracking for PHI/PII across all Medicaid eligibility extracts using AWS Glue Data Catalog and KMS encryption; ensured 98% audit compliance with HIPAA and CMS T-MSIS data submission standards.Cross-Functional Collaboration:• Collaborated with eligibility analysts, policy SMEs, and data engineers to operationalize data science outputs into eligibility determination systems, provider credentialing tools, and Medicaid program dashboards across multiple state clients.

Education

• Georgia Institute of Technology

  Master of Science - MS

  2024 — 2025

• Purdue University

  Management Information Systems

  2020 — 2023