Machine Learning - A Primer on Theory and Practice
 

Machine Learning - A Primer on Theory and Practice
 

Dr. Rajkumar Bondugula joined Equifax as Principal Data Scientist in September 2015 and leads Data Science and Machine Learning initiatives for the D&A Innovation Team. He joined Equifax from a social relationship platform start-up, as Head/Director of Data Science, where he developed a “Social Analytics Framework” to guide brands in streamlining their social efforts and provide them with the ability to measure their social impact in near-real time. He moved to Atlanta to establish the Data Science practice at Home Depot, by building big data infrastructure and leading a team to work on product recommendation, optimal product sorting and many complex algorithms. Dr. Bondugula also worked in E-commerce at Sears Holdings Corporation, where he led multiple projects to improve customer experience, web-intelligence applications to drive business growth etc. He started his career as a bioinformatics scientist with DoD at Fort Detrick, building a distributed computing pipeline to predict protein structures to aid in vaccine and bio-remediation agent design. Dr. Bondugula has earned a Master of Science and a PhD. from University of Missouri-Columbia, both in Computer Science with specialization in Machine Learning. In addition, he is an expert in Distributed Computing and Natural Language Processing. He has co-authored twenty peer-reviewed scientific publications, a book titled “Application of Fuzzy Logic In Bioinformatics”, and his work has been cited more than 200 times.