Aditya Sidharta is a data science leader with 9 years of experience building and productionizing large-scale ML systems across finance, ride-hailing, healthcare, and mobility analytics. Currently a Manager of Data Science at Capital One, he has deep expertise in ML observability, anomaly detection, causal discovery, and reinforcement learning applied to real-time API and transaction monitoring. He has repeatedly delivered measurable business impact—e.g., optimizing promotion spend at Gojek to save over 25% of budget and monitoring 1000+ APIs at Capital One—while owning end-to-end pipelines from feature engineering to deployment. Trained in statistics (NUS) and computer science (Columbia), he blends rigorous classical and Bayesian approaches with modern deep learning and MLOps tooling (TensorFlow, PyTorch, Spark, MLFlow, KubeFlow) to scale solutions. A former ASEAN scholar and Lijen Medal recipient for his thesis, he also holds a patent-worthy background in mobility detection algorithms and practical experience converting research ideas into production services. He is based in New York and reachable for collaborations at hello@adityasidharta.com.
8 years of coding experience
7 years of employment as a software developer
Singapore-Cambridge O-Level Certificate, Singapore-Cambridge O-Level Certificate at Anglo-Chinese School (Independent)
Bachelor of Science (Hons.), Bachelor of Science (Hons.) at National University of Singapore
Singapore-Cambridge A-Level Certificate Science, Singapore-Cambridge A-Level Certificate Science at Catholic Junior College
Bachelor of Science (B.Sc.) Statistics and Data Science, Bachelor of Science (B.Sc.) Statistics and Data Science at The University of Texas at Austin
Middle School Diploma, Middle School Diploma at Saint Joseph College Senior High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Contributions:2 PRs, 55 pushes, 4 branches in 3 years 1 month
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