Varad Pramod Patil
Data Analyst
Buffalo,NY
Summary
Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
1
1
years of professional experience
4
4
Certifications
4
4
Languages
Work History
Data Analyst
University at Buffalo, SUNY
Buffalo, NY
11.2025 - Current
- Designed and managed ETL pipelines to extract, transform, and load 15M+ healthcare records using Python and SQL, ensuring data integrity and enabling identification of 10+ regulatory gaps for a nationwide healthcare impact study
- Extracted and integrated datasets from CMS, CDC, HRSA, and state-level health systems, improving research efficiency by 40% through structured data integration and governance documentation
- Prepared detailed summaries, briefs, and visual insights to support publication-quality research, increasing clarity and consistency of findings by 30%
Full Stack Developer Intern
Cybertech systems and Software Ltd.
Mumbai
01.2024 - 07.2024
- Achieved 40% faster application performance by optimizing Node.js back-end queries and front-end rendering workflows.
- Integrated 10+ RESTful APIs through API integration using Node.js, Express.js, and JSON-based data exchange, connecting cross-functional systems and databases (SQL/MongoDB) to improve data synchronization and automation efficiency by 30%
- Enhanced system stability and maintainability by implementing agile documentation practices, reducing post-deployment issues by 25%
Education
MPS - Data Science and Application
University at Buffalo, SUNY
12-2025
B.Tech - Information Technology
Ramrao Adik Institute of Technology
Mumbai, India04-2024
Skills
Python
SQL
Tableau
Power BI
Nodejs
Data validation
Data cleaning
Excel functions
Statistical analysis
Data warehousing
ETL processes
Analytical problem solving
Accomplishments
- Processed and analyzed over 15M hospital pricing records to create a structured dataset for nationwide healthcare price comparison.
- Improved research efficiency by 40% through structured data collection and documentation of datasets from CMS, CDC, and HRSA.
- Achieved 92% detection accuracy in a real-time multi-face recognition system using Python and machine learning models.
Certification
Multivariate Data Analysis by Programming - Udemy
Languages
English
Full Professional
Hindi
Full Professional
Marathi
Native or Bilingual
Spanish
Limited Working
Timeline
Data Analyst
University at Buffalo, SUNY
11.2025 - Current
Full Stack Developer Intern
Cybertech systems and Software Ltd.
01.2024 - 07.2024
MPS - Data Science and Application
University at Buffalo, SUNY
B.Tech - Information Technology
Ramrao Adik Institute of Technology
Publications
Live Facial Detection And Recognition Of Multiple Faces - 2024 IEEE 9th International Conference for Convergence in Technology (I2CT) (2024)