Eugene Huang

Eugene Huang's work experience is as follows:

- Principal Data Engineer at Stori, a company focused on providing digital financial services to the underbanked population in Latin America.

- Cloud Architect at PENNYMAC, where they built the first machine learning pipeline for mortgage document processing.

- Machine Learning Engineer at Susquehanna International Group, LLP (SIG).

- Principal Associate Data Scientist at Capital One, where they played a role in democratizing consumer access to credit and disrupting the financial industry.

- Data Scientist/Data Engineer at Atos, a global technology firm that provides consulting services and solutions.

- Data Scientist at Apex Labs LLC, where they designed a fraud detection platform for a foreign federal government.

- Data Scientist/NLP Engineer at Augment Solutions, Inc., a leader in customer experience-driven AI.

- Data Science Resident at Galvanize University, where they co-wrote lectures and taught graduate courses in data science.

- Statistical Analyst Intern at Captricity, a Data-as-a-Service solution provider.

Eugene Huang holds a Bachelor of Applied Science (B.A.Sc.) in Statistics and Economics from the University of California, Berkeley, which they achieved from 2012 to 2015. Eugene later pursued a Master of Science (MS) in Computer Science at the Georgia Institute of Technology from 2020 to 2022. Eugene also obtained several certifications, including GCP Certified Data Engineer from Google Cloud Platform in February 2019, Certified Blockchain Developer by ConsenSys Academy and B9Lab in 2017, and Certified TensorFlow Developer from Google in 2021, among others.