羅文義

沉著穩健，目光如炬，樂觀積極，與時俱進。

Education

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

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

R, Python -

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

GEPT High-intermediate Level

TOEIC 820

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

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%

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

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

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

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

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