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Priyanka Mitra

@priyankamitra

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Data Scientist at Health Catalyst who cut measurement turnaround time by 75% across 15+ health systems.

India

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At Health Catalyst, I designed and scaled a Value Measurement Framework across 15+ health systems, cutting measurement turnaround time by 75% while standardizing KPI definitions and trend logic.

I also developed Python analytical workflows and interactive Streamlit applications using Healthcare.AI model outputs to identify improvement opportunities and visualize forecasted clinical deterioration. My data marts and reporting automation reduced recurring reporting effort.

Previously, I designed data marts and dashboards at Health Catalyst and engineered analytical reports at Tata Consultancy Services. Across these roles, I worked on healthcare performance measurement, BI pipelines, and analytics delivery.

Experience

Work history, roles, and key accomplishments

Data Scientist

Health Catalyst

Mar 2025 - Jun 2026 (1 year 3 months)

Designed and scaled a configurable Value Measurement Framework across 15+ health systems, cutting measurement turnaround time by 75%. Developed Python-based analytical workflows and interactive Streamlit applications integrating Healthcare.AI model outputs.

Python

SQL Databricks Statistical Process Control

Change Point Detection

Forecasting Streamlit Power BI Data Marts

Analytics Engineer

Health Catalyst

Jan 2020 - Mar 2025 (5 years 2 months)

Designed and maintained 12+ scalable data marts and semantic reporting layers supporting enterprise product analytics. Automated SQL-based analytics pipelines for clinical performance measurement, contributing to a 20% reduction in readmission-related costs.

SQL Data Modeling Power BI Tableau ETL Data Warehouse Root Cause Analysis

Systems Engineer

Tata Consultancy Services

Sep 2015 - Dec 2018 (3 years 3 months)

Engineered 750+ analytical reports in SAP Business Objects using SQL and ETL processes, improving data accuracy and reducing insight turnaround time by 30%. Drove defect resolution and system optimization across BI pipelines, improving process performance by 40%.

SAP Business Objects SQL ETL Data Analysis BIツール Data Validation