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Senior Associate Data Scientist

Roles & Responsibilities:

  • Automation Framework for Model Validation (PPE Project): Designed and implemented an automation framework to streamline the validation process for predictive models for a leading CPG client. The solution enhanced model review efficiency, ensured regulatory compliance, and supported scalable deployments across business units.

  • Revenue Forecasting in Healthcare: Improved a healthcare revenue forecasting model by adding domain-specific features and optimizing the feature engineering pipeline. These enhancements led to a notable increase in forecasting accuracy and model stability.

  • Next Best Action (NBA) System – Utilities Sector: Developed a recommendation engine for personalized billing program suggestions in the electric and utilities domain. Leveraged machine learning and reinforcement learning (RL) techniques to dynamically adapt recommendations based on user behavior and feedback, resulting in increased customer engagement and program adoption.