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Hello, I’m Paras Pandhare, a data analyst who designs scalable data solutions and automation to unlock actionable insights. I thrive on turning messy health, education, and enterprise data into reliable dashboards and governance-ready foundations using AWS, Azure, Snowflake and Python. I enjoy collaborating with care teams and cross-functional partners to drive improvements in patient care, efficiency, and decision making, leveraging BI tools and automated pipelines to deliver timely, trusted insights.…Hello, I’m Paras Pandhare, a data analyst who designs scalable data solutions and automation to unlock actionable insights. I thrive on turning messy health, education, and enterprise data into reliable dashboards and governance-ready foundations using AWS, Azure, Snowflake and Python. I enjoy collaborating with care teams and cross-functional partners to drive improvements in patient care, efficiency, and decision making, leveraging BI tools and automated pipelines to deliver timely, trusted insights.

Paras Pandhare

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Hello, I’m Paras Pandhare, a data analyst who designs scalable data solutions and automation to unlock actionable insights. I thrive on turning messy health, education, and enterprise data into reliable dashboards and governance-ready foundations using AWS, Azure, Snowflake and Python. I enjoy collaborating with care teams and cross-functional partners to drive improvements in patient care, efficiency, and decision making, leveraging BI tools and automated pipelines to deliver timely, trusted insights.…Hello, I’m Paras Pandhare, a data analyst who designs scalable data solutions and automation to unlock actionable insights. I thrive on turning messy health, education, and enterprise data into reliable dashboards and governance-ready foundations using AWS, Azure, Snowflake and Python. I enjoy collaborating with care teams and cross-functional partners to drive improvements in patient care, efficiency, and decision making, leveraging BI tools and automated pipelines to deliver timely, trusted insights.

Available to hire

Hello, I’m Paras Pandhare, a data analyst who designs scalable data solutions and automation to unlock actionable insights. I thrive on turning messy health, education, and enterprise data into reliable dashboards and governance-ready foundations using AWS, Azure, Snowflake and Python.

I enjoy collaborating with care teams and cross-functional partners to drive improvements in patient care, efficiency, and decision making, leveraging BI tools and automated pipelines to deliver timely, trusted insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst at VNS Health

June 1, 2024 - Present

Transformed a fragmented SAS-based reporting environment characterized by siloed clinical and claims data, 15-hour runtimes, and high infrastructure costs into a modern, scalable Snowflake ecosystem. Led migration of SAS workflows, datasets, and enterprise reports to Snowflake SQL with data validation, quality checks, and governance controls. Designed centralized Snowflake data models unifying claims, encounters, clinical, risk adjustment, Salesforce, SAP, and AWS sources to create a governed enterprise data foundation. Built Python-based ETL pipelines to extract, cleanse, and standardize large-scale healthcare datasets, improving accuracy, reliability, and HIPAA/HEDIS compliance. Developed high-performance Snowflake SQL reports and Tableau dashboards for readmissions, ED utilization, mortality risk, revenue/costs, and satisfaction metrics, enabling real-time insights for leadership. Implemented GitLab CI/CD automation for integration. Achieved significant performance and cost improvem

Data Analyst - Stevens Institute of Technology (Research) at Stevens Institute of Technology

October 1, 2023 - May 1, 2024

Addressed data quality issues and inefficient reporting processes slowing delivery of accurate business insights to academic and administrative teams. Collaborated with data engineering and IT teams to review and enhance data workflows using AWS Glue, Redshift, PySpark, and Alteryx, identifying and resolving 45% of existing data anomalies. Developed automated Power BI dashboards and integrated Power Automate with Excel processes to streamline reporting workflows and reduce manual tasks by 15%. Delivered improved data reliability and accelerated reporting timelines, enabling stakeholders to make faster, more informed decisions.

Data Architect Intern at VNS Health

July 1, 2023 - October 1, 2023

Led the modelling and development of a data integration hub for seamless file ingestion from clients via sFTP, processing through RDS with different stages of cleaning, and provided accessible data stages for the BIA team to support risk score modelling. Implemented a QA framework by designing and executing test plans in Amazon RDS, automating data validation using Python in AWS Lambda, and ensuring data accuracy and HIPAA/ ICD-10 compliance.

Business Intelligence Analyst Intern at Benjamin Moore

June 1, 2022 - August 1, 2022

Developed SQL queries for data analysis, leading to the development of Qlik Sense dashboards and reports for business stakeholders leveraging Databricks. Engineered SQL workflows to ingest QVD data into Qlik Sense, creating sophisticated dashboards and KPIs that enhanced data-driven decision-making; dashboards grew by 17% quarterly and contributed to 12% growth.

Business Data Analyst at Cisco

January 1, 2021 - September 1, 2021

Conducted in-depth analysis of Cisco hardware failures using Python and SQL, collaborating with IT teams to integrate solutions into the Cisco Commerce Chatbot and streamline DOA and RMA processes. Developed and automated interactive dashboards with Power BI and Tableau, managing Snowflake databases to ensure data security, availability, and performance. Designed SQL stored procedures with Apache Airflow and implemented data validation scripts using PySpark and Pandas, improving data ingestion reliability and hardware failure tracking accuracy. Delivered measurable impact with a 3.8% reduction in hardware failures and an 8.7% increase in customer satisfaction.