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國立台灣大學
研發工程師 @荔枝智慧股份有限公司2018 ~ Présent
・
研發工程師
Dans 1 mois
[email protected] 工作經歷 六月Present Taipei, Taiwan 研發工程師 荔枝智慧股份有限公司 學歷國立台灣大學 電機系-自動控制研究所 技能 Python(Django, jupyter) Javascript(Vue) MySQL DynamoDB AWS Lambda(serverless, chalice) 專案 美商安達旅平險LINE聊天機器人 由實踐大學、安達產險和荔枝智慧共同合作研發。民眾可直接
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4 à 6 ans
國立台灣大學
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電機所自動控制
業務襄理 @利保國際股份有限公司2019 ~ Présent
・
Business Development, Product Manager, Project Management, Business Operations, Process Design
Dans 1 an
player with time-synchronized display of lecture slides and nested discussion threads. Developed access control based front-end components in PHP using the Yii framework. NOV 2012 AUG 2013 Skills C++, Java Javascript Python, PHP HTML5, CSS3, SVG Qt, OpenGL/SDL, V8 jQuery, backbone, node Django, App engine LESS, Bootstrap, d3.js MySQL, MongoDB grunt, jasmine Flash, Actionscript 3 Git, Photoshop, Illustrator Honors SEARCC International School's Software Competition Algorithmic Programming Competition Organized by the Computer Society of India, was part of a team of three to represent our region at the national level
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Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立台灣大學
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Statut Actuel
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Progrès de la Recherche d'Emploi
Ne recherche pas de nouvelles opportunités
Professions
Data Scientist
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Position Désirée
軟體工程師
Type d'emploi
Temps plein
Lieu Désiré
Hsinchu City, 台灣
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
國立台灣大學
Spécialisation
策略管理
羅文義
沉著穩健，目光如炬，樂觀積極，與時俱進。
Education
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
Skills
Program
C/C++, Python, R, Java, Matlab
Data analysis
R, Python -
Exploratory data analysis, ANOVA, regression model, Data cleansing, Machine Learning (KNN, SVM, RF)
Languages
GEPT High-intermediate Level
TOEIC 820
Projects
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
Leadership
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
羅文義
沉著穩健，目光如炬，樂觀積極，與時俱進。
Education
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
Skills
Program
C/C++, Python, R, Java, Matlab
Data analysis
R, Python -
Exploratory data analysis, ANOVA, regression model, Data cleansing, Machine Learning (KNN, SVM, RF)
Languages
GEPT High-intermediate Level
TOEIC 820
Projects
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
Leadership
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