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究資料做數據分析，並產出paper。 3.透過AI影像辨識技術，去辨別MRI裡的腫瘤位置，並驗證模型進行測試調校。 二月七月 2022 Web crawler intern I nsighteye 1.開發爬蟲程式以及串接MongoDB去進行資料儲存 2.利用Bitbucket進行版控，使用GCP去進行維運測試，與多人開發輿情

習 • 動力安全資訊股份有限公司 七月Present 協助主管及同事將重複瑣碎的工作透過 Python 自動化 減少 50%重工的時間 Development 開發 Python Calendar Crawler 結合 GCP 服務將 Google Calendar 工作日誌輸出至 Google Sheet 開發 Python LDAP Searcher 針對自定的搜尋條件獲取人員屬性等資訊並輸出至 CSV 彙整 將 LDAP

data visualizations using tools such as Python Data Visualization to facilitate data analysis and reporting. Participated in the design and development of data-driven applications. 實習生 • AI academy FebruaryApril 2022 Conducted a survey on culture and art across Japan, focusing on concert halls. Built a crawler environment and collected data, organized data formats, and learned natural language processing. Identified target features using statistical analysis and data visualization techniques. Incorporated the company's environmental architecture model early on and received positive evaluations from senior colleagues. Soft Engineer • FOXLINK Group MarchJuly 2019 Developed automated

方法及其模型的建立 ✓ 2023 國際大數據與ERP學術及實務研討會榮獲第二名並推薦至Journal of e-Business (TSSCI) : [email protected] :Machine learning Data Analysis Web Crawler Software Engineer Skills 資料分析 Programing language: Python Machine learning: KNN/SVM/ Logistic Regression/XGBOOST/ RandomForest Deep learning: DNN/RNN Web Crawler: Selenium /Request /BeautifulSoup NLP :Jieba/LDA Deep learning framework: Autokeras/Tensorflow 2 Machine learning tool: Weka

/ Website: http://ecap-northeast-1.compute.amazonaws.com:8000/ ) Developed a web-based system that plans a daily travel itinerary based on user reviews and ratings for restaurants and tourist attractions. Google Maps details and user reviews were scraped using Python web crawlers, and a RoBERTa rating classifier model was trained to re-evaluate the star ratings. The user itinerary was then generated using weighted and path-related algorithms. Web Crawling: Utilized requests and Selenium to scrape basic information and reviews. Data Cleaning: Implemented data cleaning using Pandas package

趙振甫 (Frank Chao) 8+Years experience in backend development using Javascript, NodeJS, cloud and on-premises infrastructure maintenance Proficient in Web Crawler Development, Infrastructure Design/Maintain, Public Cloud, RESTful Services/APIs Back-End Engineer Taipei City, Taiwan [email protected] Work Experience Back-End Engineer • Institute for Information Industry, III Responsible for designing and developing a social media web crawler for a Fortune 500 company, using Nodejs for distributed processing of metadata, collecting more than 10 million pieces of data each year. These data are used in PMI correlation analysis, consumer sentiment

independently in 5 weeks. Leader Group | ccClub - a Python study circle for beginners at NTU ( https://www.ccclub.io/ ) Junnow Organized the 13-week study program consisted of 300 trainees and 20 cooperators , twice annually. Produced learning material for basic Python and Web Crawler . Allocated tasks to team members and assisted trainees in learning Python. Built an official website using Vue and Nuxt.js framework and Buefy UI library. Projects World from Home ( Link: https://world-from-home.web.app/ | GitHub: https://