Varan Mehta

Varan Mehta

Data Analyst Developer | Python | SQL | ML

Role
Data Analyst Developer at Avira Digital
Location
New York, NY, US
LinkedIn followers
500 followers

About Varan Mehta

I’m a detail-oriented Data/Business Analyst with a background in Computer Science and…

Experience

  1. Data Analyst Developer

    Avira Digital

    Nov 2024 — Present · New Brunswick, NJ, US

    Business Analysis & Stakeholder Collaboration- Partnered with product owners, engineering, and analytics teams to gather and document requirements for 12+ analytics and reporting features across multiple healthcare products- Led 6+ SIT cycles for high-profile pharmaceutical clients (Pfizer, Amgen), ensuring more than 98% test case pass rate before go-live- Collaborated directly with senior stakeholders at Amgen HQ during final deployment phases, improving release readiness and reducing rework by 30%.Data Integration, ETL, & Pipeline Development- Designed and implemented 4 end-to-end ETL pipelines integrating data from S3, Snowflake and data lakes into MySQL/PostgreSQL, Salesforce CRM improving data availability by 40%- Optimized SQL queries and data models, reducing dashboard load times by 35%.Analytics & Dashboard Development- Developed 5+ sales and performance dashboards for Pfizer and Amgen, enabling insights across 5+ therapeutic categories and 10+ geographical regions- Improved cross-functional reporting accuracy by 25% through proactive data validation and consistency checks.Data Quality, Validation, and Research- Executed 100+ automated data quality checks, reducing data discrepancies by 45% across analytics pipelines- Led data cleansing and processing for social listening projects, improving sentiment classification accuracy by 20%- Researched and parsed large-scale FHIR and Cen-Tree datasets JSON records) and automated extraction using Python, improving dataset processing speed by 50%.Achievements & Recognition- Received an Outstanding Contribution Award at Amgen HQ in California for delivering critical data integration and reporting solutions under tight timelines- Improved project delivery efficiency by implementing reusable ETL templates, reducing new pipeline development time by 30%.

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