I create data and machine learning solutions for this provider of procurement systems that consolidate vendors and simplify SMB purchasing.

I performed modeling to streamline future clinical trials.

• Implemented intuitive, Bayesian trial reporting—increasing usability over previous frequentist t-test

value methodology.

I was mandated to begin work on an ML platform to fuel sales growth with the existing sales team for

this provider of small business loans.

• Developed models to resurrect dormant accounts—growing conversion rate significantly.

I partnered with engineering to develop A/B testing strategies, managed expectations across groups, and led a team of 2-3 analysts supporting the largest business line, credit cards.

I leveraged my finance and technical background in a large data project to predict credit card approval based on multiple factors. I translated AdaBoost tree models to SQL-like logic, developed credit models, and created systems to score models.

• Increased credit card approvals per 1000 impressions by 2.1x through higher approval rates and

increased click rate, presenting attractive credit card offers to a wide subset of customers.

I worked with bank partners to implement a CC pre-qualification system and performed initial modeling.

• Increased click rates significantly through certain nature of approval versus offers served by

probabilistic model.