Alex Veen Email & Phone Number

San Mateo, CA, US

I lead the ML/Data Science team covering ads, AI tenant apps, identification, and intent.

Staff Data Scientist at the Ads organization. Developed a price prediction model used in real-time bidding (RTB) to optimize the auction bid price for online ads.Worked on models used in real-time bidding to predict outcomes after ad exposures such as clicks, site visits, viewability, and user engagement.

Planned Supply Levers (Driver Incentives)Led a team of data scientists owning various driver incentives programs, such as driver engagement and driver resurrection. The team builds and maintains HTE models to target drivers with efficient incentives so they drive when and where they are needed the most. The team is also in charge of measuring and reporting.

San Francisco, CA

Acquisition Incentives and Referrals, Marketing Automation PlatformDesigned driver acquisition and referral incentives and drove the team’s experimental strategy. Worked on models to automate and scale the company’s user acquisition and retention efforts. This included workflows to set ride requirements, bonus and guarantee amounts, predicting user.

Menlo Park, CA

Core App Monetization (Feed Ads)Supported video ads product development and strategy. Supported launch and roll-out decisions based on A/B testing, quantitative analysis, and statistical modeling.Opportunity sizing, goal setting, and impact measurement for new products and features. Tracking and forecasting of KPIs and other metrics.

Mountain View, CA

Quantitative Marketing (Advanced Measurement Technologies)Developed tools to measure and quantify the effectiveness of ads based on an advanced experimentation system (A/B testing).Developed tools to measure and quantify brand metrics such as consumers' engagement with a brand and a breakdown into Paid, Owned, and Earned media exposure.

New York, NY

Analytics SolutionsLead analytics projects at the Research and Analysis group at New York Life Insurance.Lead the technical aspects of a large fraud investigation. Developed a fraud scoring algorithm based on sales patterns, lapse rates, contract changes, analysis of links, and the time distributions of relevant events. Developed a dashboard for monitoring.

Yorktown Heights, NY

Research Staff Member in the Statistical Analysis and Forecasting group of the Business Analytics and Mathematical Sciences Department of IBM ResearchResearch in time-to-event forecasting, point process modeling, model evaluation, mortgage analytics, patent analytics, call center analytics, statistical seismologyPublished several academic articles and.

Diplom, Economics And Business Administration

Ph.D., Statistics