I started at CafeMedia to build out the data science and backend operations underlying our Athena user segmentation product. Since developing that product, I now also work on site optimization, programmatic media buying, audience extension, business intelligence, yield management, content promotion, and workflow automation.Most of our workflows involve hive on emr on aws, R, shiny, bash, python and/or vendor api integration. We're also really excited about our exchange bidder that we've built on top of RTBKit and refining our segmentation to meet third party standards.Press Mentions:https://www.admonsters.com/blog/native-walled-garden-native-pmps-take-root-cafemediahttp://www.mediapost.com/publications/article/274769/publishers-split-on-ad-blocking-response.htmlhttp://www.adweek.com/news/technology/startup-claims-verify-90-digital-ads-and-save-brands-losing-cash-168491Speaking Appearances:AdMonsters Publisher Forum, Virtual 2020AdMonsters Publisher Forum, Scottsdale, AZ 2019AdMonsters Publisher Forum, Huntington Beach, CA 2018Advertising Week, NY 2017Folio Show, NY 2017AdMonsters Ops Conference, NY, 2017AdMonsters, Reining in the Data Flood, NY, 2017NY Yield MeetUp, 2017DMEXCO, Cologne, 2016AdMonsters Ops Conference, NY, 2016MediaPost Publisher Insider Summit, Key Largo, 2016

Led development on analytical products, including response models for display advertising, models for demographic attributes, user segmentation, and panel scaling products.Submitted multiple patents for combinations of technical and statistical techniques.Architected and maintained back end data flow components in support of analytical products. Most workflows involved R and Netezza with some bash mixed in for orchestration.

Statistical Analyst with a major marketing research firm specializing in internet audience measurement and e-commerce competitive analysis. Launched comScore Audience Advantage product for cookie classification and targeted advertising: http://bit.ly/bEKUJJPracticed panelist and cookie attribute classification in very high dimensional data utilizing cutting edge techniques on Mapreduce / Hadoop systems, utilizing Python, R, and other tools.Created Mark and capture model based competitive intelligence product for telecommunications providers, including AT&T and Verizon.Developed substantial changes to core statistical methodology in advertising effectiveness, sample weights, and hybrid panel and census measurement.

Taught Statistics for the Social SciencesConsulted to faculty and researchers from other departments on statistical methodology and process developmentServed as teaching assistant for several sections of undergraduate statistics courses

Trained faculty in the use of technical analysis software (e.g. JMP, MATLAB, SPSS)