Rizki Rachmadi

Rizki Rachmadi is a Senior Data Scientist Specialist at SuperApp, where notable contributions include optimizing the cashback strategy through a redesigned A/B testing framework, achieving a 35% reduction in burn rate. Previously, as a Data Scientist Supervisor, Rizki deployed the Application Credit Scoring system, significantly reducing overdue loans by 50% and improving service level agreement time for new applicants. Prior experience includes the role of Associate Data Scientist at Grab, focusing on Risk & Lending, and Data Scientist at OVO, where automation of the PTP prediction pipeline led to a 75% increase in collection effectiveness. Rizki began as a Machine Learning Researcher at Politeknik Elektronika Negeri Surabaya, developing a motorcycle driver behavior detection system for Indonesia's Intelligent Transport System. Education includes a Master’s degree in Electrical, Electronics and Communications Engineering and a Bachelor's degree in Telecommunications Engineering, both from Politeknik Elektronika Negeri Surabaya.