The one thing in common among my work experiences has been the ability to understand the business needs of the company and the technical challenges of the problem at hand to develop a practical solution that works well and gets to market in a timely fashion.In addition to this I build strong relationships with the people that work for me and with me. As a result I have a network of some of the best technical people in New England to draw from whenever I start a new job.Currently, I am the director of analytics for web hosting brands at Endurance International. leading a team of data scientists and data engineers pulling together data across the enterprise to derive insights to improve the product and increase sales and lifetime value. Previously, I was the VP of Science at matchmine where I helped refine an existing recommendation system to make it flexible enough to meet the needs of a wide range of partners (movies, music, videos, blogs and podcasts). This was not a collaborative filtering approach but one that focused on understanding the content of the items and the interests of the users. It required gathering data from many sources, analyzing it, and understanding user behaviors.The work at matchmine was similar in many ways to work I did at Predictive Networks/Predictive Media. I was with Predictive from beginning to end and helped design an ad targeting system that had 2 million users at its peak, delivered over a billion ads, and had zero down time and zero complaints and in controlled studies was shown to deliver CTR 4-5 times higher than the industry average. Also at Predictive I helped develop a recommendation system for TV and movie viewing that was used to integrate VOD offerings into a unified experience for users. The IP from that venture is currently owned by a holding company for Comcast.I am looking forward to my next opportunity to lead a technical team tasked with solving interesting problems.Specialties: algorithm development, recommendations systems, targeted advertising
Listed skills include Machine Learning, Algorithms, Data Mining, Start Ups, and 41 others.