About

Karan Puri is an accomplished Associate at Goldman Sachs with almost 9 years of experience in the field of data science and business analytics. He has a Master's degree in Business Analytics from the University of Minnesota and a Bachelor's degree in Electrical, Electronics and Communications Engineering from Jaypee University. Karan's current role at Goldman Sachs involves analyzing large datasets to develop predictive models and algorithms for risk management and trading strategies. He is skilled in machine learning, data visualization, and statistical analysis, and has a deep understanding of financial markets and products. Prior to joining Goldman Sachs, Karan worked as a Data Scientist at Verisk - Insurance Solutions, where he developed predictive models for insurance pricing and underwriting. He also worked as a Business Analyst intern at Carlson Analytics Lab, where he analyzed sales data for a Fortune 100 CPG company to estimate price elasticity and cross-brand interaction. Karan is proficient in developing interactive dashboards using Tableau and has experience in developing discrete choice models for category managers to optimize marketing mix and increase market share. Karan's technical skills include data modeling, machine learning, natural language processing, and deep learning. He has experience working with programming languages such as Python, R, and SQL. Karan is a research-oriented individual and has published research papers in international journals on topics related to data science and machine learning. Overall, Karan is a highly skilled data scientist with a strong business acumen. He is passionate about using data to drive business decisions and is always eager to learn and adopt new technologies and methodologies.