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Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV

Martin Chao I majored in applied mathematics during my time at university, undergoing thorough mathematical training that fostered robust logical reasoning and strong mathematical skills. In graduate school, I delved into statistics, acquiring proficiency in a range of data analysis techniques, predominantly employing R and Python. Moving forward, I aspire to cultivate deeper into research focused on statistical learning. Taiwan EducationNational Chengchi University(NCCU) Master of Statistic | Thesis advisor : Elizabeth Chou ( Overall GPA : 4.16 /National Chung Hsin University(NCHU) Bachelor of Applied Mathematics Work Experience Statistics TA • National Chengchi University, Institute of Statistics The

Shu-Wen Cheng The development of data science has been rapidly expanding in recent years, which sparked my interest. Therefore, I decided to transition to this field, and I have completed courses and exercises about Python and SQL: - Hahow: ◎ How to Become a Data Analyst: From Problem Solving to Action Plan ◎ 50+ Exercises of SQL: Beginner-Friendly Database Introduction ◎ 50+ Exercises of Python: Data Science Handbook - Kaggle: ◎ About Python: Intro to Programming, Python, Pandas, Data Cleaning ◎ About SQL: Intro to SQL, Advanced SQL ◎ Competition: Titanic - Machine Learning from Disaster, CommonLit - Evaluate

談與收斂的能力、 技術學習研究 實習數據分析師 想見科技 三月八 月 2022 Taipei, Taiwan 利用Python進行網路爬蟲，將爬取的內容收集進行資料清洗 本地/雲端資料庫，在資料庫中進行新增、刪除、修改等功能 匯入視覺化軟體生或圖表或是將內容用API方式呈現

為等等。主要在部門進行資料蒐集,資料視覺化,模型開發,系統開發及維運 工作內容 - 開發Flask API,提供其他單位串接以及蒐集資料 - 資料篩選, 資料清洗至模型建立, 並部屬成 docker 服務 - 開發資料即時同步 ElasticSearch 系統, 並且在 Kibana 上面呈現報表 - 使用Docker部屬所需

究成果海報競賽 2022 參與校內資料分析競賽 2022 中研院AIR研討會 2022南區統計研討會 2022 EAC-ISBA貝氏分析研討會 2020 中研院統計科學營 Advances in Reliability 研討會 EAC ISBA 貝氏分析研討會 南區統計研討會 碩士論文 加速趨勢更新過程於鋰離子電池衰變資料之貝氏

責 「 景點評分模型訓練 」 ， 「 模型準確率達到79% 」 。 ＃Python： Web Crawler：透過bs4、request、selenium，爬取網路資料、論壇文章等資源。 資料清整: 運用Numpy、Pandas處理陣列資料，並進行資料清整。 Data Analysis：透過爬蟲技術或從資料公開相關平台導入數據，辨別資料型態並清整資料，再將資料導入機器