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分配建議，並配合臨櫃交易儀表板提供通路主管即時現場交易監控、提升轉介動能 分行營運潛力模型 ｜ Business Development M odel , Logistic regression, Random forests, XGBoost 篩選並梳理超過內外部200個以上變數且透過機器學習模型，按照模型排序去分析變數重要度並導入模型進行分行潛

於預測模型的特徵工程的ETL過程，通過獲取天氣網站的數據，並利用特徵工程創建了超過50個特徵。 設計並比較了Prophet、Arima和XGBoost模型在多個預測任務中的性能，以評估最終部署的模型。 使用預測模型和商業考慮來設計和優化店鋪的庫存管理。 其他

an obedient employee, sorry I am not the one. I would be a good choice of a cooperator and a storyteller. Taipei City, Taiwan 工作經歷 Business Analyst • EPSON TAIWAN TECHNOLOGY & TRADE CO., LTD 三月Present • Develop an EDM recommendation model (Bias SVD + Xgboost), improving 10% EDM open rate. • Constructing Salesforce KPI and operation dashboards helped me awarded 2023 best employee. • The ink forecast model assists product managers in controlling ink procurement. • Utilize the collage model to assemble a new image from company picture materials based on a description.

use cases. Primarily worked in Python, SQL, Tableau, and Databricks. Obtained subject matter expertise in Tableau and Adobe Experience. Team leader / delivery lead for major eCom client. Experience in Redshift and Snowflake. Developed and maintained data products in Python, Spark, ML/AI tools (XGboost, TensorFlow, Prophet), and various versions of SQL Burgeoning leader on small client, growing to full client ownership and splitting time to lead and perform delivery across many teams. Proven track record of growth mindset, resulting in growth from internship up to Principal level during this timeframe MarchMay 2016

RESTful API, and Jumio facial recognition service RESTful API. Designed database tables and automated the KYC process to reduce manual verification time for the customer service department. Strategy Product Development: Workflow Framework : Designed a foundational workflow framework to accommodate diverse steps and parameters for each strategy. Planned SQL and NoSQL tables to facilitate the development of other strategies. AI Research for Finance : Conducting ongoing research on using deep learning to estimate future trends. Generated various technical indicators and employed XGBoost, Random Forest for feature selection. Explored various neural networks such a...

曹勝彥 Allen Tsao 嗨，我叫曹勝彥，來自台灣南投，大學就讀國立中山大學物理學系，畢業後因對數據科學/分析充滿熱情，參加了：「勞動部勞動力發展署-物聯網應用設計班」、和「財團法人資訊工業策進會-AI / Big Data 資料分析師養成班」，讓我有一定能力跨入

智慧團隊教學系統融入數學幾何閱讀教學與成效分析, 諮詢委員, 2019 ~ 2022 專長 AI 研究領域 影像 自然語言 語音 數據分析 Machine Learning XGBoost、SVM、Knn、k-means、fuzzy c-means等 Deep learning（Transformer、CNN、RNN、LSTM 等） Transfer learning（BERT、GPT、YOLO、ResNet等） Self-Supervised Learning Generative Adversarial Network Reinforcement learning Programming Python Pytorch Tensorflow Keras OpenCV Matlab 著作/論文 HOU SHIH-YEN, WU YA-LUN, Kai