Born in 1996, grew up in Hsinchu, with outgoing personality, good at communicating and expressing. When facing difficulties, I insist on solving problems through thinking logically and choosing correct methods. As a member of a team, I can keep the independent thinking ability and listen to other’s opinions at the same time. Making a decision to maximize the profit of the team, and takes group harmony as a prerequisite.

In 2015, I enrolled in the Bachelor Program of the School of Big Data Management of Soochow University. Learning Data science skills like data crawling, data preprocessing, data analysis, machine learning, deep learning, data visualization knowledge. Because I was interested in the fields of data and information science, after school, I tried to learn related skills through some online and offline resources, such as participating in off-campus Python courses and website crawlers on Youtube ... etc. Besides learning skills, I participated in some contests, such as in Kaggle data analysis competition, ACER Internet of Things (IoT) competition. To increase my practical experience, I looked for intern opportunities. I had served as a Python programming teacher, data processor in Soochow University Big Data Analysis Center which deal with enterprise outsourcing data cases, research assistant at Research Center for Information Technology Innovation, and an intern at GFK market research company in charge of data collection and analysis.

In 2019, I entered the department of MIS of Chengchi University(NCCU). The main research field was blockchain. The thesis was a technical paper with the development of asset tokenization platform. I was dedicate to find out the best business model to fit the asset tokenization platform on the blockchain with TTF (Token Taxonomy Framework) and implemented this Web App by node.js, express, web3.js... . Learning System (Software) development became my primary goal. I had already learned data science related skills in college, such as machine learning, deep learning, data analysis… etc. However, data science was only a part of information technology and those AI, ML tech always be applied on system and software so I decided to study the relatively unfamiliar field, system development. By the way, I also studied ML, DL and other related courses in the school. At the same time, I serve in a startup company, Helium Co, Ltd.(橘橘鏈科技), as an intern engineer for the automated testing (CI) of its blockchain system and APP. After being familiar with the project I also assisted in API development and took over as the project manager, taking charge of the entire project.

Skills: I have about six years of experience in programming. The first programming language I learned is Python, which is mainly used for data analysis, web crawling, Tensorflow, deep learning, and building django framework.Using R language implement data analysis and data visualization, C language to Arduino IoT application. I also used to develop the system by Javascript (Node.js), familiar with SQL, and used solidity to develop blockchain related smart contracts and so on.

In the past study period, I also served as an intern in some information-related industries and established the direction of my future career. Now, I am going to start my career, hoping to enter a company with well development and promising prospects in the future, and learn how large-scale teams work together, the real practical technology of the industry. I hope to find a position can put the things I learned in the past in a way of higher value and take the company to the next level.

Backend Related

Node.js

C#

SQL

git

CI

Data Related

Data processing (Py)

Web crawler

Data Mining

Maching Learning

Deep Learning (TF)

NLP

Data Visualization

R Language

Data Visualization

Monte Carlo method