Youngjun Woo

Youngjun Woo

M.S. in Data Science | University of Michigan

Welcome to My Page

This page contains files to my projects and course work. I am constantly uploading contents.

Contact

Mail: yjwoo@umich.edu

Tel: (734) 934-0125

About me

I am a talented data scientist with a strong combination of practical experience and theoretical knowledge. I am seeking an opportunity to make a powerful impact on an organization’s capabilities and performance, while continuing to accelerate professional development.

I have a deep understanding in the areas of statistics, economics, and mathematics. Possess key insights into end-to-end data pipelines, with the ability to transform, process, and optimize data delivery. I also have a demonstrated skill and expertise applying complex statistical and machine learning models to resolve business challenges of all complexities.

Some of the core strengths I bring to the table include:

  • Project Management
  • Complex Problem-Solving
  • Cross-Functional Collaboration
  • Dashboard Development
  • Data Mining & Analysis
  • Machine Learning
  • Deep Learning
  • Predictive Modeling
  • Regression & Multivariate Analysis
  • Dimension Reduction Analysis
  • Survival Analysis
  • Nonparametric Statistics
  • Time Series Analysis
  • Bayesian Statistics

I am interested in thinking about what information users will need and visualizing it by analyzing related data through statistical and machine learning models.

Education

  • University of Michigan (2023): M.S. in Data Science (GPA 3.6/4.0)
  • Yonsei University (2020): B.A. Double major in Statistics & Economics (GPA 4.0/4.5)/ B.S. Minor in Mathematics
  • University of California, Berkeley (2019): Undergraduate exchange studies, focusing on Mathematics (GPA 3.85/4.0)

Technical Skills

Python, R, SQL, C++, Julia, JavaScript

Coursework

These are courseworks from University of Michigan, Yonsei University, and University of California, Berkeley.

  • EECS: Data Structure and Algorithm, Database Management System, Computer Vision, Matrix Method for Machine Learning.
  • Statistics: Linear Regression, Multivariate Analysis, Statistics for Financial Data, Bayesian Statistics, Time Series Analysis, Nonparametric Statistics, Mathematical Statistics.
  • Economics: Microeconomics, Macroeconomics, International Finance, Game Theory, Financial Engineering, Law and Economics
  • Mathematics: Analysis, Abstract Algebra, Differential Geometry, Topology, Linear Algebra

This page (Coursework) contains various worked-out problem sets from my courses at University of Michigan. I am constantly uploading contents.

Projects

This page (Projects) contains projects I participated or currently working on. I am constantly uploading contents.