Jun-Hao Chen
Business Analyst, Data Analyst, Relationship Manager
New Taipei City, Taiwan
4 years of experiences as a detail-oriented, communicative Relationship Manager in corporate banking. I am passionate about observing various behaviors to find trends and gain insights through data analysis. I have completed the Google Data Analytics Certificate program, which covers the entire scope of the data analysis process. I possess the ability to manipulate and analyze large datasets using skills such as SQL, Python, R, and data visualization tools like Tableau. I am keen to apply for the position of Business Data Analyst in your company and make a significant contribution to the organization.
Work Experience
Relationship Manager • International Bills Finance Corporation (IBFC)
十月 2019 - 六月 2022
- Developed new credit projects proactively like one billion general credit limit for solar energy company, 500 million stock collateral loan for investment company.
- Maintain existing relationships with about 40 clients, analyze financial statements and financial models to ensure credit risk.
- Collaborated with colleagues to launch a syndicated loan.
- In 2021, the profit contribution grew by approximately 15% compared to 2020 and the loan balance increased by around 800 million NTD within three months by communication.
Assistant Relationship Manager • International Bills Finance Corporation (IBFC)
十月 2017 - 九月 2019
- Studied solar energy industry and used DCF models to calculate the internal rate of return (IRR).
- Analyzed financial statement of companies and wrote credit reports.
Intern of Corporate Banking • E.Sun Commercial Bank, Ltd
七月 2015 - 八月 2015
- Wrote credit reports and studied the development of cash management in domestic banks.
Intern of Research Department • Concord Securities Co.,Ltd.
七月 2014 - 八月 2014
- Analyzed the application of fuel cell energy in different countries.
Education
National Taiwan University
Master of Business Administration in Finance
2014 - 2016
National Taipei University
Bachelor of Business Administration in Finance and Cooperative Management
2010 - 2014
Side Projects
Bellabeat Case Study
Analyzed smart device usage data to understand how consumers use smart devices. Cleaned, merged, and manipulated large datasets using R language.
Heart Disease Classification (Machine Learning)
Built a machine learning model using Python to predict whether individuals have heart disease or not based on their medical attributes. It is a classification problem of supervised learning.
Customer Retail Sales Analysis
Utilized Python NumPy and Pandas packages to manipulate and clean data, perform feature engineering, and conduct visual analysis of consumer shopping behavior.
Skills
SQL Python Pandas Numpy Matplotlib Scikit-Learn R Java Tableau Microsoft Office Google Sheets Communication Skills Detail Oriented
Language
English — 專業 Chinese — 母語或雙語
