Summary
Arif Nurhidayat is a senior data scientist with a decade of hands-on experience in fintech, specializing in credit risk, pricing, and customer acquisition modeling. At GXS Bank Singapore he builds end-to-end ML pipelines and dynamic pricing models that directly improve profitability, and previously led the data science chapter at Home Credit Indonesia to raise loan purchase rates while cutting marketing spend. He combines strong quantitative skills and production engineering (Python, PySpark, SQL, Airflow, AWS) with a Master’s in Embedded Systems from TU Delft, enabling robust, deployable solutions rather than prototypes. Comfortable mentoring teams and reviewing code, he has a track record of translating experiments and cost–benefit analyses into business decisions. A former machine-learning engineer in rail and telecom, he brings an uncommon systems-control perspective to financial modeling.
10 years of coding experience
8 years of employment as a software developer
BE, Electrical Engineering, BE, Electrical Engineering at Universitas Indonesia (UI)
Master’s Degree, Embedded systems, system and control profile., Master’s Degree, Embedded systems, system and control profile. at Delft University of Technology
Indonesian, English