Senior Data Scientist at VSCO

Influenced product and GTM roadmaps by building foundational data products, including likelihood-to-upgrade dashboards and lift analyses to measure the causal impact of features on conversions. Conducted A/B tests on paywall experiments, optimizing free-to-premium conversion and driving a 15% uplift. Built hierarchical pricing and engagement models for forecasting retention and churn. Developed user segmentation and content classification models for reverse ETL into Google Ads to enable real-time bidding optimization. Led migration from Fivetran to a self-hosted Airbyte stack with Terraform, migrating 4.5B+ records with parity validation, reducing data latency by 33% and cutting six-figure annual vendor costs. Owned end-to-end event instrumentation across 5 products, defined 150+ event specifications, updated protobuf schemas, deployed to EKS, and built dbt models powering PM KPI dashboards. Optimized dbt models to lower nightly/CI runtimes and Snowflake costs by $8K monthly. Guided Da

Data Engineer at Ruggable

Designed data ingestion pipelines using open-source ELT tools to extract data from 8+ vendor sources; optimized costs while leveraging AWS (EC2, Lambda, Glue) and Airflow for orchestration. Contributed to building an ELT pipeline for Shopify GraphQL API to support analytics. Partnered in designing medallion architecture in dbt and established coding standards, naming conventions, and data type enforcement for consistency across models.

Data Analyst at Pinterest

Designed engagement analytics for International Growth, developing locale-based metrics, supporting Trust & Safety initiatives, and improving SEO through image quality segmentation. Conducted A/B experiments for DSA compliance to measure personalization opt-out rates; identified a concurrent settings banner as a potential confound, but found only 3% of users would opt out regardless.

Data Scientist at DarkStore

Established MLOps for a product recommender engine, deploying user preference and complementary product models that increased daily order volume by 6% and average basket value by 15%. Partnered with Marketing to build user segmentation using RFM analysis, enabling personalized campaigns that improved customer retention by 8%. Created a weighted metric combining multiple product features to rank inventory performance, driving a 33% reduction in SKUs and 15% savings in storage costs.

Data Analyst I/II at ZoomInfo

Built an end-to-end Databricks ETL pipeline to scrape, clean, and transform text data using NLP, enriching company records by 15% with ongoing monthly improvements. Analyzed network patterns using scikit-learn (k-means clustering, linear regression) to enhance the Intent project before release. Led code reviews and established coding standards and data governance practices during GDPR implementation.