pratik waghmode

Engineered Python/SQL pipelines to process large serialized datasets for predictive modeling. Automated Linux data validation and anomaly detection to ensure model and schema integrity. Built scalable feature pipelines and applied statistical modeling to high-dimensional data.

Model Evaluation & Reliability: Assessed ML performance using accuracy metrics and output variance to ensure stability. Automation: Built Python scripts to streamline workflows, sharply cutting data refresh and analysis turnaround. Dashboard Validation: Collaborated with visualization teams to verify dashboard accuracy and insight representation. Cross-Functional Communication: Translated complex analytical insights into clear, actionable business strategies.