熟悉資料收集、數據分析、以及學術寫作。
Tel: 0910-813-930 | E-Mail: [email protected] | Website: wspooong.com | wspooong
印度商威普羅 | Jul 2023 - Present
中央研究院 人文社會科學研究中心 調查研究專題中心 | Apr 2021 - Jul 2023
2016 - 2017, 2019 - 2021 | GPA 3.8
升學結構下的技職教育:以台北市立大安高工為例
2012 - 2016
程式語言:Python、R。 | 程式技能:網路爬蟲、資料清理、資料視覺化、SQL、NLP。
研究:內容分析、問卷設計、報告撰寫。
認證:TOEIC Gold (885/990)、Professional Data Analyst by DataCamp (DA0021135851199)。
此專案部署在 AWS 雲端平台上。前端採用 Vue.js,後端使用 FastAPI。Opensearch 作為向量資料庫。透過 GitHub Actions 來自動化 CI/CD 流程。
資料收集部分,使用 AWS Lambda 作為網路爬蟲,並且利用 Sentence-Transformer 來理解文字的含義。文章相似度的判斷,則透過 KNN 演算法來找尋彼此內容相似的文章。
利用BERTopic分析「家有中學生」臉書社團之貼文,觀察各個群集間的趨勢、並試圖解釋。
Python Developer with experience in collecting data, interpreting data and writing.
Tel: 0910-813-930 | E-Mail: [email protected] | Website: wspooong.com | wspooong
Wipro
Jul 2023 - Present
Center for Survey Research, Research Center for Humanities and Social Sciences, Academia Sinica.
Apr 2021 - Jul 2023
Programming Experience:
Web Scraping: Developed web scraper for Facebook, YouTube, Twitter, and TikTok.
Data Visualization: Utilized Python Plotly to develop dashboards for research projects.
Web Development: Built a data donation tool using Flask and Vue.js for research projects.
Other Experience:
Internship Program: Led an 8-week internship program, assisting interns in formulating research questions and utilizing text mining techniques for their research.
2016 - 2017, 2019 - 2021 | GPA 3.8
Vocational Education Under The Structure Of Credentialism
2012 - 2016
Language: Python, R. | Technical Skills: Web Scraping, Data Cleaning, Visualization, SQL, NLP.
Research Skills: Content Analysis (Qualitative), Survey Design, Academic Writing.
Certifications: TOEIC Gold, Professional Data Analyst by DataCamp (DA0021135851199).
This project uses Vue.js for the frontend and FastAPI for the backend. It utilizes Opensearch as vector database. The project employs GitHub Actions for automating the CI/CD process. It is hosted on AWS. Uses AWS Lambda as web scraper to gather data, using Sentence-Transformer to understand the meaning of words, and uses KNN to find articles that are similar to each other.
Utilize the OpenAI Embedding model and the Topic Model Method to identify the subjects of discussion among parents on the internet.
熟悉資料收集、數據分析、以及學術寫作。
Tel: 0910-813-930 | E-Mail: [email protected] | Website: wspooong.com | wspooong
印度商威普羅 | Jul 2023 - Present
中央研究院 人文社會科學研究中心 調查研究專題中心 | Apr 2021 - Jul 2023
2016 - 2017, 2019 - 2021 | GPA 3.8
升學結構下的技職教育:以台北市立大安高工為例
2012 - 2016
程式語言:Python、R。 | 程式技能:網路爬蟲、資料清理、資料視覺化、SQL、NLP。
研究:內容分析、問卷設計、報告撰寫。
認證:TOEIC Gold (885/990)、Professional Data Analyst by DataCamp (DA0021135851199)。
此專案部署在 AWS 雲端平台上。前端採用 Vue.js,後端使用 FastAPI。Opensearch 作為向量資料庫。透過 GitHub Actions 來自動化 CI/CD 流程。
資料收集部分,使用 AWS Lambda 作為網路爬蟲,並且利用 Sentence-Transformer 來理解文字的含義。文章相似度的判斷,則透過 KNN 演算法來找尋彼此內容相似的文章。
利用BERTopic分析「家有中學生」臉書社團之貼文,觀察各個群集間的趨勢、並試圖解釋。
Python Developer with experience in collecting data, interpreting data and writing.
Tel: 0910-813-930 | E-Mail: [email protected] | Website: wspooong.com | wspooong
Wipro
Jul 2023 - Present
Center for Survey Research, Research Center for Humanities and Social Sciences, Academia Sinica.
Apr 2021 - Jul 2023
Programming Experience:
Web Scraping: Developed web scraper for Facebook, YouTube, Twitter, and TikTok.
Data Visualization: Utilized Python Plotly to develop dashboards for research projects.
Web Development: Built a data donation tool using Flask and Vue.js for research projects.
Other Experience:
Internship Program: Led an 8-week internship program, assisting interns in formulating research questions and utilizing text mining techniques for their research.
2016 - 2017, 2019 - 2021 | GPA 3.8
Vocational Education Under The Structure Of Credentialism
2012 - 2016
Language: Python, R. | Technical Skills: Web Scraping, Data Cleaning, Visualization, SQL, NLP.
Research Skills: Content Analysis (Qualitative), Survey Design, Academic Writing.
Certifications: TOEIC Gold, Professional Data Analyst by DataCamp (DA0021135851199).
This project uses Vue.js for the frontend and FastAPI for the backend. It utilizes Opensearch as vector database. The project employs GitHub Actions for automating the CI/CD process. It is hosted on AWS. Uses AWS Lambda as web scraper to gather data, using Sentence-Transformer to understand the meaning of words, and uses KNN to find articles that are similar to each other.
Utilize the OpenAI Embedding model and the Topic Model Method to identify the subjects of discussion among parents on the internet.