Data Science

Kazem Jahanbakhsh

Vancouver
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Since 2012, I started advising advertising and marketing companies on developing optimization algorithms for ad buying. I designed Machine Learning algorithms for programmatic ad buying for several technology companies. My optimization algorithms used by companies in US, Canada, & Europe contributing to millions of dollars revenue annually for them. In 2014, I led developing a customized real-time bidder (i.e. RTB) for sophisticated media buyers such as mobile game companies and ad agencies. We developed a proprietary optimization algorithm for analyzing data to train models for optimal ad buying. As chief data scientist @Trulioo, my team worked in the area of fraud detection where we used machine learning algorithms and processed over 1.5 billion social profiles from Facebook, Twitter, Google+, & LinkedIn. Our predictive models computed authenticity score for people social profile to identify fraudulent accounts. While @SeekerSolutions, my team designed & implemented various NLP models for topic modeling and name entity recognition for free text in medical space.