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in current technologies, trends and programming languages. Key points are: 1. For last 2+ year working on FinTech Product worked multiple APIs, Kafka, User Retention based on ML/AI 2. Prior full-time working company was Infobeans Indore which worked on ML Document classification using NLP. 3. Worked in HighIq, Hyderabad as ML expert doing projects on Tesseract, Multithreading, OCR, Doc Classification, Windows Services-Polling, NLP. 4. At Emorphis as Python Developer, worked on IoT project. I also worked on an Audio project using Tensorflow, Keras, and scikit. Done

4. 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 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

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

格預測平台，導入 Airflow、MLflow、Prometheus 等工具實現訓練自動化與監控可視化。熟悉 PyTorch 與語意建模，能結合 DL 模型與 Prompt Engineering 有效解決長文本 NLP 任務。 📂 GitHub： github.com/SamJim0729 內湖區, 台北市, 台灣 資料科學專案 Data Science Projects 個人實作專案 AugNow BTC 月趨勢預測 MLOps 系統建置 ： 資料準備 ： 運

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