國立臺灣大學 National Taiwan University(2017.09 ~ 2019.06)

  • Master of Business Administration 
  • Major in Business Analytics & Strategy Management 
  • Master's Thesis:“Stock Investing Using Market-share Estimation Based on Aggregate Data”
  • Relevant Coursework:Big Data and Business Analytics (A+), Strategic Management (A), Analysis of Industry & Competition (A), Management Science Models (A-), Business Model Innovation through the Internet of Things 

國立清華大學 National Tsing Hua University(2013.09 ~ 2017.06)

  • Bachelor of Computer Science
  • GPA:3.79/4.3
  • Rank:35/120 
  • Relevant Coursework:Data Structures, Computer Architecture, Design and Analysis of Algorithms, Programming Top Ten Important Algorithms in Python, Probability



C/C++, Python, R, Java, Matlab

Data analysis

R, Python -
Exploratory data analysis, ANOVA, regression model, Data cleansing, Machine Learning (KNN, SVM, RF)


GEPT High-intermediate Level


Stock Investing Using Market-share Estimation Based on Aggregate Data

  • Collected, cleansed data from Taiwan Economic Journal database (TEJ database) and Market Observation Post System
  • Constructed a random coefficient logit model (BLP model) using aggregate data for utility estimation 
  • Implemented Markov Chain Monte Carlo (MCMC) algorithm for Bayesian inference and Maximum Likelihood Estimation (MLE) in R and C++ 
  • Built a trading signal generator by using change of utility combined with the stop-loss mechanism in the trading backtest and obtained return on investment was 60.6% during 2017Q1 to 2019Q1 

Predicted Taiwan stock market by analyzing financial news articles

  • Extracted features from words by applying n-gram and tf-idf method in python 
  • Conducted experiment of the input data by comparing k nearest neighbor (KNN), Support Vector Machine (SVM), and Random forests (RM) algorithm 
  • Predicted the daily up and down changes of the selected stocks, which achieve high accuracy by 85%-90% 

Analytic of pharmacy sales information using regression model

  • Coordinated with company for data cleaning and variables selection to ensure that data is meaningful and analyzable 
  • Developed data visualization and conducted exploratory data analysis (EDA) to analyze data sets for teasing out insights 
  • Applied market basket analysis to build recommendation engines and make purchase suggestions to customers 

Mergers & Acquisitions (M&A) analysis of COSCO and OOCL

  • Analyzed and evaluated the case from the industrial, operational, and financial aspects 
  • Proposed operational synergy and financial synergy by analyzing the shipping industry overview 
  • Judged the acquisition price ensured it was reasonable by using P/B ratio, EV/EBITDA, and Discounted cash flow method


MBA Softball Team, NTU

Vice-captain | Sep 2017 - Sep 2018
  • Formed a group that created a thoughtful project and won the fourth place 
  • Accountable for team operations such as budget, equipment management, weekly practice, and game preparations 

Computer Science Student Association, NTHU

Vice president | Sep 2015 - Sep 2016

  • Developed and managed reorganization of the student association 
  • Held the 1st CS night with limited budget and human resources 
  • Managed Facebook fan pages and held at least one large activity for over a hundred people every semester

Freshman Camp, NTHU 

Lecturer & Director of activity | Jul 2016 - Aug 2016

  • Share the essential guidelines and my college life to freshmen in the department of computer science
  • The number of freshmen participated in the event reached 88%, the highest in the history
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