Dilan Chavda

Dilan Chavda is a skilled data scientist with extensive experience in programmatic advertising and predictive modeling. Currently working at MOLOCO since September 2020, Dilan specializes in modeling real-time auctions for advertising space on mobile apps. Prior experience includes serving as a Senior Data Scientist at Clear AI, where Dilan contributed to the NHS PPE demand forecast model and developed an anomaly detection proof of concept for a supply chain firm. Dilan also worked at Cambridge Analytica as a Junior Data Scientist, conducting research and data audits, and created advertising segments using machine learning techniques. Earlier roles include a data engineer internship at Eighty20, where Dilan managed survey data and website maintenance. Dilan holds a Master of Science in Machine Learning from Imperial College London, a Statistics Honours from the University of Cape Town, and a B.Sc. in Actuarial Science from the same institution.