Sign In
Get Started →
Yongshen Foo
Quant Analyst at NBIM - Data Analytics - Data Science and Machine Learning Enthusiast
Summary
Yongshen Foo is a highly skilled data professional with a strong background in equity systematic strategy research, risk measurement, and attribution.
He excels in structuring and cleansing datasets using programming languages like R, Python, and SQL, and is proficient in data analysis and visualization tools such as Tableau.
Having a keen interest in data science and machine learning, Yongshen applies these techniques to improve business decision-making through data-driven insights.
In addition to his professional pursuits, he is currently pursuing a Master's degree in Computer Science with a specialization in Machine Learning at the Georgia Institute of Technology to enhance his technical skills further.
This public profile is provided courtesy of Clay. All information found here is in the public domain.
This public profile is provided courtesy of Clay. All information found here is in the public domain.