About

Rahul Satheesh is a highly skilled Data Scientist with over 3 years of experience in Business Analytics. He has a passion for converting complex technical results into readable and actionable insights and solutions. Rahul's latest experience has been in the marketing space where he currently works as a Senior Quantitative Analyst, Performance Marketing at Bankers Healthcare Group. In his current role, Rahul is responsible for credit strategy design, implementation, and management. He uses bureau (TransUnion/Experian) and in-house data sources to develop and modify loan eligibility criteria, pricing and underwriting strategy, and loan amount modification programs. Rahul is also the point of contact for loan eligibility criteria for repeat loan borrowers. Prior to his current role, Rahul worked as a Senior Business Analyst at LendingClub where he was responsible for credit strategy design, implementation, and management. He used bureau (TransUnion/Experian) and in-house data sources to develop and modify loan eligibility criteria, pricing and underwriting strategy, and loan amount modification programs. Rahul was also the point of contact for loan eligibility criteria for repeat loan borrowers. Rahul has also worked as an Analytics Consultant at Carlson Analytics Lab where he worked with clients such as Mall of America and Minnesota-based Casino. He created an experiment to optimize staffing allocation at different rides in the Nickelodeon Universe amusement park in the mall using reinforcement learning with Tensorflow to design a methodology to effectively allocate staff such that profit is maximized. Rahul also performed predictive analysis to understand patterns in room occupancy at the casino hotels and conducted exploratory data analysis aimed at improving guest experience at the mall gift stores. Rahul holds a Master's degree in Business Analytics from the University of Minnesota and a Bachelor's degree in Telecommunications Engineering from PES. He is proficient in Python, SQL, R, Microsoft Power BI, Tableau, and SAS. Rahul's tech stack includes Data Scientist, SQL, Python, Reinforcement Learning, and Tensorflow. Overall, Rahul has 4.68 years of relevant experience in the field of Data Science and Marketing.