柯頌竹 Sungchu Ko

Python 演算法工程師

Phone: 0960543991

Email: [email protected]

I am a recent graduate of Data Science at the University of Bath, and I studied Statistics and Information Science in college.

In terms of data analysis, I familiar with R and Python. I used the former to analyze personal credit overdue, the factors that determine whether to use public transportation and produce visual charts, and the latter did image classification, reinforcement learning, and charts. I have also used SQL combined with the first two programming languages. In addition to the aforementioned programming language, Power BI will also be used for visual drawing. In terms of data collection, I have experience in questionnaire design and field visits to collect data.

In terms of language, Chinese is the mother tongue, English is the first foreign language, and German is the second foreign language. I hope to find a job in data analysis, and I look forward to taking on challenging jobs.

EDUCATION

Sep 2019 - Sep 2020

University of Bath

MSc Data Science

  • Dissertation topic: Machine Learning for cartoon image 
    • Modify the classic CNN model to classify about 900 kinds of Pokemon and the predict accuracy is more than 90%.

Sep 2014 - Jul 2018

Fu Jen Catholic University

BA in Statistics and Information Science with the Program of Big Data Industrial Intelligence Program in the College of Management

  • Student Research Project Contest title: On the prediction model of overdue loans - taking a domestic bank for example
  • Being an exchange student in Hochschule Pforzheim in Germany, Mar 2018 - Jul 2018
    • Organize the Europe and Friends Day at Hochschule Pforzheim

WORK EXPERIENCE

Research assistant  •  NTU hospital

Dec 2020 - now

  • Clean, analyze data and build regression model by Python
  • Take the course called “Case analysis of AI intelligence medical image recognition technology” by ITRI College+

Intern  •  Mentor Trust

Jul 2017 - Aug 2017

  • Set Microsoft SQL Server
  • Analyze data by R Script

ACADEMIC RELATED EXPERIENCE

By being top 10% students in College of Management, Fu Jen Catholic University

May 2017 - now 

  • Become the member of Beta Gamma Sigma, May 2017
    • Participate in Global Leadership Summit, Nov 2017

My average grade in the first five semesters of university was 83.8, and my ranking was 6.6. My excellent academic performance made me eligible to join the International Business Honors Society (BGS) and went to Orlando, USA to participate in the Global Leadership Summit in November 2017. In addition to learning leadership and listening to successful people’s speeches, there are also many random group activities and competitions. In the process, we must quickly get acquainted with each other and work together.

Fundraising 

Jul 2017 - Aug 2017

  • Project name: 小野鹿計畫再出發 - 澎湖比賽去

Raise funds for the Taitung baseball team to purchase baseball bags. Since most of the children on the team came from low-income family, and the school did not have funds to help the team buy professional backpacks, in the past, when the team went out for games, the players could only use ordinary plastic bags to carry luggage and equipment. Thus, we have the idea of helping them buy backpacks through fundraising.

In this experience, I played the role of communicating with the school and leading the team. In the end, the fund-raising case reached a completion rate of nearly 140%, and we successfully recruited backpacks for the children.

Joining Summer German courses in Eberhard Karls Universität

Aug 2016

  • Took language lessons every weekday with young people from different countries worldwide.

In order to learn German more effectively, I decided to take a summer course held by a local university in Germany during the summer vacation. The course was taught in German. The final exam includes a written test and a presentation.

ADDITIONAL STRENGTHS

Computer Skills


  • Python (including Tensorflow, scikit-learn, numpy...)
  • R Script
  • Microsoft SQL Server
  • Microsoft Word, Excel, Power Point, Power BI

Language


  • Chinese (Mother tongue)
  • English (B2 level)
  • German (B1 level)