Amir Behbehani's Email & Phone Number

💼 Past Experience

Education: hathaway School of Engineering and Technology, partial (2005-2007).Work Experience: 1983-2005: Economist at Oracle, Palo Alto, CA. 2005-2005: Econometrician at Oracle, Palo Alto, CA.2007-2015: Artificial Intelligence Developer, Advisor (Customer) at Medibio Limited, Hong Kong.2015-2018: Developed an AI platform that helps clinically diagnose patients using abnormal, arrhythmic, cardiac signal collected from a wearable such as an Apple Watch or Android Wearable Device.2017-2018: Developed a live-music recommendation system that takes data from concert attendee and enables music labels to cross sell into new audiences.2018-present: Data Scientist (Customer) at 8tracks, San Francisco Bay Area. 2011-2013: Data Scientist (Customer) at Identified, San Francisco, CA. 2013-2014: Data Scientist (Customer) at Hurdl Inc, Palo Alto, CA.2014-2018: Data Scientist (Customer) at 8tracks, San Francisco Bay Area.

🎓 Education

Amir Behbehani has a Bachelor's degree in Mathematics from Stanford University. Amir has also completed a Sofer program at the Hebrew University of Jerusalem. Amir is currently a doctoral candidate in mathematics at Washington University in St. Louis, Missouri.

💡 Technical & Interpersonal Skills

Amir Behbehani has over 20 years of mathematical and engineering experience, having worked in the field of Econometrician, Artificial Intelligence Developer, Advisor (Customer) atMedibio Limited from November 2015 to January 2018 (2 years 3 months), Developed an AI platform that helps clinically diagnose patients using abnormal, arrhythmic, cardiac signal collected from a wearable such as an Apple Watch or Android Wearable Device, Mathematical Engineer, Advisor (Customer) at Hurdl Inc. from December 2015 to 2017 (2 years), Built, and licensed to Hurdl, a live-music recommendation system that takes data from concert attendee and enables music labels to cross sell into new audiences, Data Scientist (Customer) at 8tracks from January 2014 to January 2015 (1 year 1 month), in San Francisco Bay Area, Created a music recommendation engine that surfaces music lists for new users (‘cold-start’), registered users (signed up, but no activity), and active users (signed up, and activity), Mathematician, Advisor at Lynda.com ( Sold to Linkedin) from January 2014 to January 2015 (1 year 1 month), Developed the LTV model for Lynda.com,Served as an advisor on AI / ML matters until acquisition by Linkedin, Data Scientist (Customer) at Identified (acquired by Workday) from June 2013 to November 2014 (1 year 6 months), Developed a Geo-inferencing system to detect where users live, down to the metropolitan statistical area. The technology helped spur the sale of the company to Workday in 2014, Data Scientist (Customer) at Atypon from October 2013 to October 2014 (1 year 1 month), Created a music recommendation engine that uses a topic modeling framework to determine which academic journals to recommend to users based on their individual browsing history, Mathematical Engineer, Advisor at Serendipity Now from February 2013 to 2014 (1 year), Developed a data visualization engine in C++ leveraging the MPI distributed computing libraries, Advisor (Customer) at Actiance, Inc. from August 2012 to September 2013 (1 year 2 months), Helped create a topic modeling framework to detect legally privileged documents for the purpose of electronic discovery, and automatically infer (allocate) topics to unprivileged text, Mathematian, Founder, Reluctant CEO at Serial Metrics in San Francisco Bay Area, Founded Serial Metrics in 2010 to help companies “talk to their data.” Amir Behbehani is currently a Econometrician at Oracle from 2005 to 2005 (less than a year). In his previous work experience, Amir hasdeveloped an AI platform that helps clinically diagnose patients using abnormal, arrhythmic, cardiac signal collected from a wearable such as an Apple Watch or Android Wearable Device, as well as created a data visualization engine in C++ leveraging the MPI distributed computing library. Amir has also worked on system dynamics simulation and artificial intelligence for loan verification and validation, and has a patent pending for an “automatic ETL” system to pivot and join data sets on-the-fly and generate insights, reports, and predictions without writing a line