Shivansh Bhardwaj

Processed and validated AIIMS historical medical datasets for training Flexirelief’s AI-based chronic-care platform, ensuring data accuracy and consistency across sources. Developed Python- and SQL-based ETL workflows to clean, validate, standardize, and reconcile healthcare data, improving overall data quality. Built Excel/PowerBI dashboards with relevant KPIs to highlight symptom patterns, treatment correlations, dataset quality metrics, and early throughput or TAT-related trends. Delivered clear trend insights, workload patterns, and high-level capacity indicators to support product, research, and engineering teams in planning and decision-making.