• Processing large datasets with 20M+ rows using Python and Jupyter Notebook.
• Conducting creative entity resolution between sources using LLMs and data enrichment.
• Developing algorithms to predict match accuracy between sources, ensuring delivery of accurate and valuable client insights.

• Achieved significant improvements in unit economics for KidPass Tutors product in Q3'22: ~30% in sCVR and ~20% in renewal rate.
• Led successful launch of Begin website, purchase funnel, and product bundles in collaboration with C-suite and cross-functional team of 50+.
• Spearheaded development of 2023 AI roadmap for personalizing web experience to drive conversion and retention.
• Performed churn (logistic regression), sentiment (NLP), and financial analyses to inform business as well as product decisions.
• Designed and interpreted results of A/B experiments using statistical methods, SQL, Python, and DataBricks.

• Owned product roadmap for K-8 math web app impacting 6M+ student users, contributing to ~1 .5x user-base growth in 2 years.
• Collaborated with a team of 3 engineers, 2 designers, and 3 analysts; worked directly with C-suite.
• Made data-driven decisions through analyses using SQL and Excel. Conducted user research and testing. Created lo-fi JavaScript prototypes.

• Drove key business insights by building complex models using Excel and Alteryx to analyze and forecast financial, customer, and market data.
• Presented directly to C-suite of Fortune 500 company using Tableau and PowerPoint.
• Informed $1B+ private equity deals through market analysis as well as assessment of business model and strategy.