Rajan Mehta

Rajan Mehta has a diverse work experience in the field of software engineering. Rajan started their career as a Software Engineer Intern at Accion Labs, where they automated the Project Health Monitoring System and built dashboards for project managers. Rajan then worked as a Software Engineer at Accion Labs, where they analyzed and fixed data issues in large structured and unstructured datasets.

After that, Rajan joined the University of Connecticut as a Graduate Research Assistant at the Goldenson Center for Actuarial Research. Here, they developed a model to predict healthy life expectancy based on various variables and actuarial tables. Rajan also utilized MySQL database for data storage and performed automated data extraction tasks.

Currently, Rajan is working as a Senior Software Engineer - Core AI at Clinc, Inc. Previously, they worked as a Software Engineer III - AI, where they maintained the BankAPI service and oversaw back-end integrations for banking customers and partners. Prior to that, they were a Software Engineer II - AI at Clinc, where they developed and maintained conversational AI systems in the financial domain. Rajan also designed and implemented data pipelines for data augmentation and testing to improve the quality of NLP systems.

Overall, Rajan Mehta has gained expertise in software engineering, data analysis, and artificial intelligence throughout their work experience.

Rajan Mehta completed their Bachelor of Technology (B.Tech.) degree in Information and Communication Technology from Ahmedabad University in the years 2012 to 2016. Following that, from 2018 to 2019, they pursued a Master of Science (M.S.) degree in Business Analytics and Project Management from the University of Connecticut School of Business. In terms of additional certifications, they obtained a certification in Deep Learning: Face Recognition from LinkedIn in March 2019, a certification in Healthcare Analytics: Regression in R from LinkedIn in March 2019, a certification in Building a Recommendation System with Python Machine Learning & AI from LinkedIn in February 2019, and a certification in Bayesian Networks for Research, Analytics, and Reasoning from Bayesia in September 2017.