Mehdi Jalalpour
About Mehdi Jalalpour
Mehdi Jalalpour is a Senior Data Scientist at Point Predictive, specializing in leveraging AI to enhance lending processes. He holds a Ph.D. in Civil Engineering Systems and has previously worked at institutions such as Johns Hopkins University and Cleveland State University.
Current Role at Point Predictive
Mehdi Jalalpour serves as a Senior Data Scientist at Point Predictive, a position he has held since 2021. In this role, he focuses on deploying artificial intelligence solutions to enhance lending processes. His work aims to create frictionless experiences for lenders, leveraging advanced data analytics and machine learning techniques.
Previous Experience in Academia
Before joining Point Predictive, Mehdi Jalalpour worked at Cleveland State University as an Assistant Professor from 2013 to 2017. His academic background includes a role as a Teaching Assistant at Johns Hopkins University from 2009 to 2011, where he supported educational activities in the Baltimore, Maryland area. Additionally, he served as a Research Assistant at Johns Hopkins University from 2008 to 2013.
Educational Background
Mehdi Jalalpour holds a Doctor of Philosophy (Ph.D.) in Civil Engineering Systems from The Johns Hopkins University, which he completed from 2011 to 2013. He also earned a Master of Science (M.Sc.) in Civil Engineering from the same institution, studying from 2008 to 2011. Prior to that, he obtained another Master of Science (M.Sc.) in Structural Engineering from the University of Tehran, completing his studies from 2003 to 2005.
Professional Experience at KPMG US
Mehdi Jalalpour worked at KPMG US as a Senior Associate, Data Scientist from 2017 to 2021. In this role, he developed machine learning models aimed at enhancing operations and resource utilization for healthcare institutions and government entities. His experience at KPMG contributed to his expertise in data science and machine learning applications.
Research and Development Focus
Mehdi Jalalpour has a keen interest in leveraging artificial intelligence to improve lending processes. His focus includes deploying AI solutions that streamline lending experiences, aiming to enhance efficiency and effectiveness in financial transactions.