About

John Jacob A. is a Data Science Manager with over 5 years of relevant experience in the field. He is a motivated individual with an entrepreneurial spirit, who loves building products backed by data science, deriving insights from data, and answering business questions. John is proficient in Predictive Modeling, Statistics, Machine Learning, and NLP. He has expertise in building algorithms and models for structured and unstructured data. John is proficient with various tools such as Python, pySpark, SAS, Excel, R, SQL, Hive, Hadoop MapReduce, SPSS, Tableau, Power BI, Alteryx, and GA. He is currently working as a Manager, Credit Risk Data Science at amex, where he is responsible for modeling for large merchant default in the Credit Fraud & Risk Team. In his past roles at amex, John has worked as an Assistant Manager, Global Merchant Data Science and a Data Scientist. He collaborated with Tech and Product teams to build, productionalize, and scale algorithms and products to meet enterprise-wide needs. He identified and prioritized product improvements, leveraged data science & ML to develop new features, and evaluated their impact. John's educational background includes a Bachelor's Degree in Computer Engineering from nmims, an MBA from sda bocconi asia center, and a degree in Social Entrepreneurship & Impact Investing from UCLA Anderson School of Management. He also holds a degree in International Business from sda bocconi, where he studied Marketing & Analytics. John's TechStack includes Data Scientist, SQL, NLP, ML, MapReduce, Python, Hadoop, Research Scientist, Apache Hive, Selenium, and Web. He is passionate about building algorithms and models to derive insights from data and solve business problems.