About

Chandra Chitiprolu is a highly skilled Machine Learning Engineer/Scientist with over 15 years of experience in Big Data, Machine Learning, NLP, and MLOps. She has a proven track record of building data products and solutions for clients in various industries, including FinTech, Retail, Insurance, and SCM. Chandra has worked with marketing, risk management, and operations teams to create POCs for different use cases, such as NLP, Fraud, A/B testing, personalization, and more, and bring them to production. Chandra is proficient in using Python, TensorFlow, Hadoop, Hive, Spark, and Kafka, as well as SAS, R, and R studio tools and frameworks for Machine Learning and Deep Learning. She has helped managers and senior management in strategy execution by creating Machine Learning Models and realizing the impact over $2M dollars on multiple projects. Currently, Chandra is working at State Compensation Insurance Fund as a Hadoop/Machine Learning Engineer. Prior to this, she worked at Wells Fargo as a Data Scientist and at eBay as a Big Data/Analytics Consultant. Chandra holds a degree in Natural Language Processing (NLP) with Python from Stanford University, a Master of Technology (M.Tech.) in Computer Science from the Indian Statistical Institute, and a Master of Science (M.Sc.) in Mathematics from the University of Hyderabad. She also holds a Bachelor of Science (B.Sc.) in Statistics from Andhra Loyola College and a certificate in Strategic Decision and Risk Management from Stanford University. Chandra's technical expertise includes ML, Hadoop, NLP, Big Data, Research Scientist, Deep Learning, Spark, test, Python, TensorFlow, Kafka, Data Scientist, and Apache Hive. With her extensive experience and technical skills, Chandra is a valuable asset to any organization looking to leverage Machine Learning and Big Data to drive business growth and success.