Pranali Kulkarni
Data Engineer | Gen-AI, LTV, A/B testing | I leverage AI-powered data pipelines to create business solutions
- Role
- Data Analyst at PacificSource Health Plans
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Pranali Kulkarni
I am a new-generation Data Engineer and Analyst, using AI-powered data analytics to develop business solutions. I not only answer \'why,\' but also \'so what?\'My stack:· End-to-end Automation Pipelines using AI/LLM· Data Modeling & SQL Development· Customer Analytics & ROI optimization· Data Visualization & BI Reporting· Stakeholder Collaboration & Strategic ImpactMaster\'s in Information Systems (Concentration: Data & Product Analytics)5+ years of experience in the Healthcare, Marketing, and Product development industryAdaptable, Result-oriented, Diligent
Experience
Data Analyst
Feb 2021 — Present · Portland, OR, US
Built Python and Snowflake analytics pipelines to surface high-impact friction drivers, enabling UX improvements that increased journey completion by 25%.• Engineered automated A/B testing pipelines in Airflow, dbt, Python, and Snowflake, accelerating 3 times faster experiment analysis and reducing manual reporting by 40%.• Created executive-ready dashboards in Power BI and Looker, translating complex model outputs into insights that aligned VP-level stakeholders on growth, CAC, and revenue KPIs.• Developed self-serve BI assets integrating Salesforce, Snowflake, and GA4, boosting team productivity and reducing ad-hoc requests by 40%.• Strengthened Trust & Safety by resolving upstream data issues and ensuring HIPAA-compliant handling of sensitive patient data across Snowflake, Salesforce, and GA4.• Built an LLM-powered funnel analytics system using Snowflake, OpenAI, and Power BI to diagnose drop-offs and friction points, driving a 15% conversion lift and cutting analysis time by 70%.• Developed a GenAI-enabled Streamlit app connected to Snowflake, Azure, and OpenAI, allowing plain-text campaign queries and reducing technical dependencies across teams.• Partnered with engineering to fix upstream data issues, optimize Snowflake queries, and automate reporting workflows, delivering 15% cost savings and saving 10+ hours per week.• Partnered with Product Marketing and Sales to define GTM KPIs, benchmarks, and success metrics for new feature and campaign launches.• Developed Python-based ETL validation pipelines with automated data quality checks, reducing QA workload by 25%.
Education
University of Mumbai
Bachelor of Engineering - BE
2013 — 2017
University of Maryland Baltimore County
Master of Science - MS
2018 — 2020
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