About

Chirantan Neogy is a highly skilled Senior Data Scientist with over 6 years of experience in the field. He is currently working at Roku as a Data Science professional for their Originals team. Chirantan has a strong background in Quantitative Analysis, having previously worked at Fannie Mae Single Family Analytics, where he drove multimillion-dollar business decisions in the Real Estate Asset Management space using technologies such as Python, R, SAS, and SQL. Chirantan has extensive experience working with a wide range of technologies, including AWS, Spark, Hadoop, Airflow, and Kubernetes. He has also worked as a Data Scientist at SparkPost, where he utilized his expertise in Python, AWS, Spark, Hadoop, Airflow, and Kubernetes to develop cutting-edge data solutions. Chirantan's past experience at Fannie Mae includes co-managing and actively developing multiple enterprise-level pricing and decisioning models, conducting ad-hoc research involving millions of loans worth billions of dollars in debt, and providing analyses that led to multimillion-dollar savings for the business. He has also designed experiments to conduct hypothesis testing, developed numerous dashboards and reports using R Shiny and Tableau, and utilized lean management techniques to solve business and technical problems. Chirantan holds a Bachelor of Science in Finance from the University of Illinois Urbana-Champaign. He has a strong technical background, with expertise in Data Science, Research Science, AWS, Python, SQL, Spark, Apache Airflow, Hadoop, Kubernetes, NLP, and test. Chirantan is a highly motivated and detail-oriented individual who is passionate about using data to drive business decisions and solve complex problems.