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James Goh
Data Scientist - MIT, Wharton
James Goh is an aspiring data scientist with a keen interest in roles related to data science.
He has accumulated around 2 years of practical experience in applying machine learning techniques using Python and R.
James has expertise in areas such as causal inference with a focus on randomization inference and causal forests.
He is skilled in prediction modeling using algorithms like ELECTRA, EfficientDet, and XGBoost.
James has successfully deployed his models in production environments leveraging technologies like AWS, Docker, and R Shiny.
His educational background includes a Master's degree in Data, Economics, and Development Policy from the Massachusetts Institute of Technology.
James also holds a Bachelor of Science in Statistics from The Wharton School and a Bachelor of Arts in Economics from the University of Pennsylvania.
