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曲培文 數據科學家 擁有五年以上數據科學及機器學習經驗 ， 曾於美國頂尖金融機構以Python開發與部署多項機器學習模型，並領導多項跨部門專案，提供 不同單位 數據驅動的解決方案 ，以優化公司業務流程並降低風險 。 技能: Python, SQL, AWS, Git, Tableau, Agile 語言: 英

BO-GUAN JHOU Phone :| Email : [email protected] | LinkedIn : boguanjhou | GitHub: NeoJay0705 EDUCATION National Taiwan Normal University M.S. in Computer Science & Information Engineering SeptJuneNational Chin Yi University of Technology B.S. in Electronic Engineering SeptJuneSKILLS Programming : Java, Go, Python, C++ Web Development : Spring Framework, PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch, RabbitMQ, Kafka, XXL Job, Microservices, Non-blocking IO (Netty), gRPC, Dubbo RPC, ELK Stack, Vue.js DevOps: Docker, Kubernetes, GCP, GitHub, GitLab, Shell Scripting Others: Git, Design Patterns, Clean Architecture, Machine Learning, Tensorflow, NLP WORK EXPERIENCE Gram Backend Software Engineer OctOct

Thomas Richardson Woodstock, IL, United [email protected] https://www.linkedin.com/in/thomas-r-a3b944296/ As a Senior Full Stack Developer, I specialize in crafting innovative solutions that span web, mobile, and blockchain platforms, leveraging a comprehensive blend of front-end, back-end, AI, NLP, and decentralized technologies. With expertise in modern front-end frameworks such as React, Angular, and Vue.js, I create dynamic and responsive user interfaces that enhance user engagement and accessibility. My proficiency extends to mobile application development using React Native, ensuring consistent

. 規劃功能畫面包含 On Boarding flow、Dashboard 5. 研究 Google authenticator 二階段認證，保證產品安全 AI Project Manager 美商訊能集思科技 2019/2 – 2021/2 Taipei, Taiwan JarviX 自然語言分析平台導入，並陪同業務進行產品功能的展示與簡報的介紹，並後續的 POC 驗證及相關 SPEC 撰寫，從資料的收集到

抓取金融新聞，將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術：NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未

產品專案協理 遠見天下文化事業群 • 三月六月 2021 數位轉型 產品 0 → 1 Growth hacker 集團自有 CDP 開發： 制定動態受眾濃度計算邏輯。 以 NLP 技術分析站內文章，加入受眾濃度計算因素。 行銷應用相關工具：LINE 自動選文推播、手動貼文推播。 鎖定受眾客製化行銷方

and improving development efficiency. Optimized website performance with server-side rendering, caching, and resolving critical issues like Algolia-related server-side crash. Mentored team members on React best practices, fostering a collaborative and skilled team environment. Research Assistant, Academia Sinica 11//2020 Conducted research in NLP and machine learning, focusing on models like BERT and multi-task learning. Authored a publication: "Detecting Deceptive Language in Crime Interrogation," presented via a recorded session at an NLP conference. Developed a Memory Networks-based application for detecting deceptive language in collaboration with an international research team