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室 1. 神經電生理訊號分析、神經細胞追蹤分析，與藥理試驗。 2. 研究論文撰寫與國際研討會的舉辦。 技能 Data Science Data Analysis, Image Analysis, Machine Learning, Deep Learning, Statistical Analysis, Data visualization Programming Python, PyTorch, NumPy, Pandas, Matplotlib, Scikit-Learn, Git, PostgreSQL, Docker Biotechnology Neuroscience, Genetics, Imaging, Scientific Writing Soft skill Project Management, Probelm Solving, Team Player, Proactive Communication 語言 English — 專業 Chinese — 母語或雙語 French — 初階 學

and a Bachelor’s degree in Electronic Engineering from the NKFUST. Proficient in firmware development using C, with hands-on experience in Embedded Linux System, MCU and Linux System, such as the OOB solution(on NUC980), Platform software Package, and FreeRTOS(on STM32) . comprehended to Python, TensorFlow, and machine learning concepts during university studies. Furthermore, I have proven track record of independently tackling challenging technical projects and embracing new technologies. I am passionate about continuous learning and self-improvement, as evidenced by my engagement in OOB solution, FreeRTOS, Yocto Linux kernel and machine learning with Python

retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform

quality issues through analysis of inspection results, HMI messages, system log/config files and parameter sets . ．Provid assistance to first-line support e ngineers who are unable to fix optical, electro, system hardware/software and database problems. ．I ndependent work of camera module installation/ alignment, machine parts replacement, software upgrade, system calibration and defect qualification. ．Build procedure documents for inspection issue troubleshooting, parts installation, system calibration and computer rebuild. Project manager ．Improve key performance indicators through DMAIC and Six-sigma approaches (Decrease cycle time 12.5% to save US$2,793K/year

Jui Yu, Yang I graduated from the Department of Industrial and Information Management at National Cheng Kung University with a master's degree. My research focused on small sample machine learning and quality improvement in industrial management. With 6 years of experience in the software engineering industry, I emphasize code quality and automated deployment processes. I excel in full-stack web and desktop application development, particularly proficient in React framework and unit testing. My backend experience includes developing RESTful APIs and Socket.io services for inter-service communication, database management, Docker, and CI/CD

Deep Learning frameworks like TensorFlow and PyTorch, as well as libraries like OpenCV. Contributing to the tech community is essential to me. Through mentoring and open-source projects, I strive to make a positive impact in the field of AI and computer vision. Data Scientist | Software Developer | Machine Learning | Deep Learning | Computer Vision | Object Detection | Face Recognition | TensorFlow | PyTorch | Django | C# | WCF | Micro-Services | MicroControllers | Arduino | IoT Work Experience Data Analyst & IoT Software Developer • FARAZ ERTEBAT AugustPresent - Software Developer using C++ and Python - Working with Qt - Including projects such as: • Development of 3G, 4G

EasonHsu Taipei City, [email protected] https://www.linkedin.com/in/eason-hsu-64b905101/ 8+ years of experience in data analysis. skills: • sql、python、ETL 、ms sql、ML server、LLM • machine learning 、text mining 、web crawler • data PM 工作經歷 Data/ML Engineer • 凱基證券 八月Present | Taipei, Taiwan 一、Data Science： 1.導入MLops開發部署流程於地端微軟Machine Learning Server /雲端GCP Vertex AI 2.客戶流失