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I-Kang Ding

Data mining mining data

Dr. I-Kang Ding is an accomplished data scientist and machine learning engineer with a Ph.D. and a diverse background in mineral exploration, financial services, semiconductor manufacturing, and solar cell research and development. With over ten years of experience, Dr. Ding has honed his skills in all aspects of machine learning at scale, from defining business problems to deploying and monitoring models in production settings.

Previously serving as a Data Science Manager at Capital One, Dr. Ding spearheaded the development of machine learning models to combat credit card fraud across the company's extensive portfolio, deploying these models onto customer-facing systems on AWS. He has also contributed significantly to the field by creating Python packages and training modules, enabling analysts to streamline their workflows and automation processes with ease.

Dr. Ding has pursued studies at prestigious institutions including The Data Incubator, University Of Washington, National Taiwan University, and Stanford University. His impressive professional journey includes roles at prominent organizations such as KoBold Metals, Capital One, Philips Lighting, Alta Devices, and Academia Sinica. Additionally, he has a background in the military, having served as a Private First Class in the ROC Army (Taiwan).

I-Kang Ding
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Location

San Francisco Bay Area