I built a customer retention analytics pipeline with dbt and Snowflake, turning raw user events into funnel and retention metrics. I analyzed 200K+ customer records with logistic regression, then designed an A/B test to validate a campaign for high-risk segments.
My product analytics projects include an AI-assisted metric recommendation workflow and a 64-case Text-to-SQL regression suite. The suite achieved 92% execution accuracy and included controls to detect ambiguous requests and block destructive SQL operations.
As an Independent Market Research Analyst, I built and validated systematic signal evaluation frameworks using backtesting and statistical analysis. At Worcester Polytechnic Institute, I analyzed operational records with SQL and Python and improved CRM workflows with Salesforce flows.
