Purva Kulkarni

About Purva Kulkarni

I’m a Principal Data Scientist with 10+ years of experience translating ambiguous product and business problems into clear, actionable data and GenAI strategies.I’ve led end-to-end data science initiatives across product, growth, and monetization, reducing time-to-market from years to months and influencing roadmap decisions at the VP and C-level. My work spans experimentation, measurement, predictive modeling, and applied GenAI, including designing LLM-based agents to automate insights and scale decision support.I’m known for bridging data, product, and engineering—turning complex analysis into clear trade-offs, recommendations, and outcomes. I enjoy mentoring data scientists, setting best practices, and building inclusive, high-trust team cultures.

Experience

1. Principal Data Scientist

   Microsoft

   Sep 2023 — Present

   Products: Windows, Bing Growth• Led high-impact, end-to-end data science initiatives accelerating time-to-market from 3 years to 9 months by streamlining analytics workflows and cross-functional alignment.• Translated ambiguous business needs into analytical frameworks, partnering across orgs to influence product strategy and roadmap—reducing data loss by 30–50% in key pipeline initiatives.• Designed and evaluated GenAI agents using Cline, Roo, Claude, and Copilot-based models, replacing 3–4 hours/week of manual analysis and enabling scalable insight generation.• Presented data insights to VP/C-level leaders, influencing key strategic decisions through clear communication of trade-offs and ROI.• Mentored data scientists, established best practices in experimentation and modelling, and championed inclusive culture through initiatives like AI Learning Sessions, Women’s Health Support Group, and Introvert Allies programs.

Education

• University of Maryland Baltimore County

  Master of Science (MS), Computer Science

  2015 — 2017

• Maharshi Karve Stree Shikshan Sanstha's Cummins College Of Engineering For Women, Pune

  Bachelor of Engineering (B.E.), Computer Science

  2005 — 2009

Skills

• Project Management
• Data Warehousing
• Mysql
• Data Analysis
• Panda
• Agile Methodologies
• Teradata
• Data Structures
• C++
• Software System Analysis
• Business Analysis
• Java
• Cobol
• Behavioral Science
• Db2
• Data Visualization
• Business Intelligence
• Informatica
• Scikit-Learn
• Ab Initio
• Team Leadership
• C
• Programming
• Microsoft Office
• Python
• Visual Basic
• Spark
• Rdbms
• Matlab
• Nltk
• Pl/Sql
• Oracle
• Data Mining
• Requirements Analysis
• Sql
• Postgis
• Devops
• Data Migration
• Unix
• Data Modeling