Kena Shah

Kena Shah is an accomplished Data Scientist with extensive experience in data analytics and machine learning. Currently at Lancer Insurance Company since October 2016, Kena has mentored interns in machine learning and developed a predictive model for suit occurrence with 80% precision, as well as a pipeline for optimizing premiums on trucking policies. Prior to this role, Kena worked at IBM from July 2014 to June 2016, co-designing a model for a pharmaceutical client to identify non-adherent patients and generating insights for a lending club client to address attrition rates using extensive data attributes. Kena's career commenced as a Data Engineer at Multi-tech Control Systems, where automation of sensor verification was a key responsibility. Kena holds a CPEE in Big Data and Optimization from INSOFE and a Bachelor of Engineering in Electronics and Communications from Gujarat Technological University.