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hours daily for medical professionals. Calibrated and deployed a machine learning regression model for waveform predictions, enhancing accuracy for 500+ blood pressure monitors. Research Assistant Department of Computer Science, NCCU • August 2019–July 2020 Conducted opinion mining on 2,500 wine reviews using Transformer-based pre-trained language models. Delivered NLP coursework guidance to over 70 students as a Teaching Assistant. Account Manager Leo Burnett Taiwan • February 2017–May 2019 Orchestrated rebranding strategies for Chia Shin Cement Group, resulting in the only successful brand declaration campaign in five years. Localized branding materials and executed

but have also refined my teamwork and project management skills. Currently, I am a part-time digital transformation engineer at MAA Consultant Co., Ltd., where I focus on driving digital innovation and improving operational efficiency. I have cultivated a comprehensive professional background that encompasses data analysis, natural language processing (NLP), statistical analysis, and scientific simulation. My proficiency in programming languages such as Python, C++, and MATLAB enables me to design, develop, and maintain sophisticated software applications. During my time at university, I had the privilege of serving as the president of the

HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a

張詠翔 (Sean Chang) Sr. Data Scientist Sr. Data Scientist at KKLab, KKBOX Group Taipei, Taiwan https://www.seanchang.space 技能 ML Fundamentals tree-based models (bagging, boosting) NLP-related models (LM, NER, SA, ...) Programming Languages Python JavaScript Scala Go Frontend React React Native Backend & Database Express Flask & FastAPI SQLAlchemy MongoDB MySQL DevOps Docker Kubernetes AWS Ansible Helm GitLab CI Distributed Computing Apache Spark ML Frameworks & MLOps Tensorflow Scikit-learn Spark ML mlflow spaCy Data Visualization Plotly D3.js seaborn bokeh Miscellaneous Scrapy & Beautiful Soup 工作經

Duc. Nguyen + 5-year experience in product & data field + Machine Learning/Deep Learning/Natural Language Processing + Python/R/SQL/Javascript + Qlik Sense/Tableau/PowerBI/Metabase Product Manager, Data Science City, TW [email protected] Work Experience Taipei Medical University, A.I Reseacher, Aug 2019 ~ Present ✓ A member of Natural Language Processing Lab ✓ Applying new state-of-the-art models such as ELMO, BERT, RoBERTa to get better accuracy or f1-score on public datasets ✓ Developing a system architecture of Big Data

Benjamin Deporte [email protected] AI, Machine Learning and Data Officer Innovative AI/ML seasoned leader with strong mathematical background and hands-on knowledge of machine learning algorithms and best practices. Specialized in Cybersecurity, Healthcare and Aerospace. Demonstrated driving business value through 10+ years of experience within different businesses, in direct management or thought leadership roles. Leadership, networking, communication and language skills. Skills Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity, Healthcare and Aerospace. Leadership abilities, networking and communication skills Business acumen in multicultural, global organizations Work

Manisha Madane ( Data Scientist ) Email Id : [email protected] Mobile No :years of experience in IT and comprehensive industry knowledge of Machine Learning, Data Analysis, Predictive Analysis, Data Manipulation, Data Mining, Data Visualization and Business Intelligence. 2.Experience in performing Feature Selection, Linear Regression, Logistic Regression, k - Means Clustering, Classification, Decision Tree, Supporting Vector Machines (SVM) , Naive Bayes, K-Nearest Neighbours (KNN) , Random Forest, and Gradient Descent, algorithms to train and test huge data sets. 3.Adept in statistical programming languages like Python. Expertized in Python data extraction and data manipulation, and widely