Ansh H.

Ansh H. is a Data Scientist at Bloomberg, focusing on cybersecurity related to insider threats. Previously, Ansh worked as a Senior Data Scientist at C3 AI, where they designed and deployed cybersecurity and anomaly detection applications, and as a Data Scientist at New York Life Insurance Company, where they productionized an XGBoost model for fraudulent agent detection. Ansh also completed a Statistical Practice Capstone at Yelp, developing an algorithm for the Waitlist feature, and interned at PwC, creating document classification and NER tagging models. Ansh is currently pursuing multiple degrees in Statistics, Machine Learning, and Computer Science from Carnegie Mellon University and Georgia Institute of Technology.