About

Harsh Khemka is a Lead Data Scientist with over 6 years of experience in the finance and fraud analytics domain. He is a business problem solver and has a strong background in tracking and monitoring customer data, analyzing them, and getting insights through statistics and data visualization. Harsh is an expert in creating models for bypassing some segments of customers or for checking fraud. He has a never-give-up attitude until there is a solution. Currently, Harsh is working as a Senior Data Scientist at Applied Data Finance, where he is responsible for mentoring juniors for different analysis involved in returning customers. He is also involved in analyzing variables provided by new third-party vendors for a random sample of customers to know their added value to the existing variables. Harsh is also involved in the creation of new features for refinance risk models to get better yields than the previous one. Prior to his current role, Harsh worked as a Data Scientist at Applied Data Finance, where he was responsible for the management of returning customers for loans. He defined rules for selection analysis and was responsible for analyzing risk performance and profit analysis. Harsh applied fraud analytics to predict suspicious and fraud customers and made comparative analysis of different segments to find anomalies for a particular segment. He was also responsible for analyzing automated fraud mitigation and quality assurance of customer data through an automated program. Harsh developed a refinance risk model during his tenure. Before joining Applied Data Finance, Harsh worked as a Software Developer at Kuliza, where he handled the end-to-end software cycle, including back-end and front-end. He also created APIs for various file handling tasks for various cloud services and used PDF Converter API to create PDFs through front-end web pages. Harsh researched cloud services before creating or using their API through Oath Authentication. Harsh holds a Master of Computer Applications (MCA) degree from VIT and a Bachelor of Computer Applications (BCA) degree from Meghnad Saha Institute of Technology. He has a strong tech stack that includes Data Scientist, Research Scientist, ML, Software Engineer, Frontend, Backend, and Web.