Tien-Leng Wu is a master's student in Data Science at New York University. He holds a bachelor's degree in Economics and a certificate in Data Science and Social Inquiry. During his undergraduate studies, he developed a strong interest in data science and analytics, equipping himself with skills in several programming languages, machine learning, and statistical modeling. Initially focusing on classical machine learning techniques, he has since expanded his expertise to modern AI methods, including Neural Networks, Reinforcement Learning, Bayesian Machine Learning, Large Language Models, and Natural Language Processing. Through various group projects, he has gained hands-on experience in applying these techniques to real-world problems. Passionate about leveraging data for informed decision-making, Tien-Leng is an excellent candidate for data science and analytics internships, bringing both technical depth and interdisciplinary experience to the field.
Behavioral and Data Science Research Center, National Taiwan University
• Managed data preprocessing; filled in missing values, merged multiple datasets, and handled invalid or unreadable strings
• Investigated root causes of missing, inaccurate, and unbalanced data; developed corresponding solutions
• Visualized data and applied econometrics models to processed data with Python and Stata
Coursework: Introduction to Data Science, Computational Cognitive Modeling, Learning from Small Data, Machine Learning, Big Data, Natural Language Understanding