National Taiwan University of Science and Technology,
Bachelor's degree, Computer Science, 2014 - 2021
Majored in computer science, and also has a strong interest in financial trading. In addition to undergraduate professional courses, I've also completed financial professional courses such as futures and options, artificial intelligence trading strategy development. In my Graduation Project, I've designed an artificial intelligence futures trading algorithm, and won the third prize of the annual CS Graduation Project Competition.
Work Experience
TAROBO INVESTMENT ADVISORS LTD., Data Analyst Assistant & MIS Assistant (Mar 2021 ~ NOW)
Database Programming
RPA Developing
Financial Data Crawler Developing
Website Developing (ASP.NET)
TAROBO INVESTMENT ADVISORS LTD., Investment Data Intern (Nov 2020 ~ Mar 2021)
Investment Data Maintenance Responsible for data maintenance from Morningstar, Lipper, Bloomberg, and other databases.
SQL / Financial Data Crawler Developing Responsible for handling fund data crawlers, database maintenance. Additionally refactoring 3 programs, and establishing an automated data screenshot system during the internship.
Build Up Work Flow SOP Assist in optimizing the process of old work and build SOP for new one. During the internship period, I was responsible for the training of Morningstar and Lipper database for new regular employees. The course design and lecture were all in charge of self Execution.
Latea Association (博雅青年講堂), CEO & Facilitator (Aug 2018 ~ 2021)
Organization management： Responsible for administrative affairs, forming the organization culture , and students recruiting, etc.
Planning and designing the courses of student's training plan： Including designing an annual training plan, communicating with lecturer, setting discussion topic. So far I've already designed over 7 courses (5-hour each course) in philosophy, sociology, empathy, etc.
Designing and executing the projects for students in the training plan： Designing the content of students' individual projects and group projects. We have finished 2 individual projects so far and 3 group projects are still ongoing.
Projects
Deep Learning Trading Strategy
The LSTM neural network algorithm was used to model the daily open positions of the foreign investors. After backtesting and verification, it can effectively avoid the biggest drawdown risk of the market, and this project won the third place in the annual graduation project competition of CSIE Dept.
Establish a crawler system that can automatically schedule daily crawling of various financial information (including daily exposure of transaction information, economic news, individual stock news, corporate information, etc.), and the system is deployed on the cloud (GCP) server.
In this project, I create an indicator to detect the situation of the Market (Bull, Bear or Mixed). According to the research results, with the same futures entry strategy, adding the trend indicator with the original strategy can effectively increase the winning rate by about 5% and reduce the maximum drawdown (MDD) by about 47%, which represents this indicator can help filtering the trend. Project Detail
Skills
DevOps
OS：Windows / Linux
Visual Studio 2017/2019
Git / SourceTree
Google Cloud Platform
Programming
Python
Power Language
ASP.net / Html / CSS / JS
C / C++ / C#
Data Analysis
MSSQL / MySQL
Excel / VBA
R
Artificial Intelligence
Machine Learning
Deep Learning
Tensorflow2 / Scikit-learn
Oral Expression
I have received at least 200 hours of training in meeting host, book club chairman, and communication.
I think I have enough ability to express my ideas clearly and be a good listener.
Certificate
Sales representative in stock company
Toeic：745
Competition Experience
CS Graduation Project Competition, 2020 | Third Place Winner
Modeling a quantitative strategy with "foreign institution trading data of TXF" by using LSTM Algorithm to predict the possibility of the increasing ratio.
NTU Hackthon, 2016 | Accupass Enterprise Award
In this Hackthon, our team spent three days creating a prototype of a credit system platform for Accupass in order to help the organizers to identify the participants with bad attendance records. My job in this project was to build the back-end of the demo platform by using Django.
