Anup Chitikeneni

Anup Chitikeneni has several years of work experience in the data and analytics field. Anup began their career as a Business Analyst at Mu Sigma Inc., where they played a key role in driving marketing decisions for a Fortune 500 client in the Casino industry. Anup then joined Cigna as a Data Quality Analyst, where they gained experience in the healthcare domain and learned the value of data quality. Anup later transitioned to Microsoft, where they worked as a Data Analytics Consultant, contributing to the development of a predictive revenue optimization model and conducting A/B testing for marketing campaigns. Anup then moved to Ford Motor Company, first as a Data Scientist Analyst, leveraging global Connected Vehicle data for smart mobility initiatives, and later as a Senior Data Engineer, building enterprise-level data products and services. Currently, Anup holds a position as Lead Data Engineer at Ford, responsible for designing data movement strategies and ensuring data engineering best practices.

Anup Chitikeneni completed a Master of Business Administration (MBA) degree from the University of Michigan - Stephen M. Ross School of Business from 2022 to 2024. Prior to that, they obtained a Master's degree in Business Analytics from the University of Michigan from 2014 to 2015. Their undergraduate education was at GITAM Deemed University, where they earned a Bachelor's degree in Civil Engineering from 2008 to 2012.

In addition to their formal education, Anup Chitikeneni has obtained several certifications. Anup completed courses such as "Google Cloud Fundamentals: Core Infrastructure," "Google Cloud Big Data and Machine Learning Fundamentals," "Modernizing Data Lakes and Data Warehouses with Google Cloud," "Python Data Structures," and "Programming for Everybody (Getting Started with Python)" from Coursera.