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— GISH G SUMMARY Aiming to be a data scientist unicorn who excels at applied machine learning in a business/finance-related field. DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt). Applying tree-based algorithms to model Credit Scoring predictions in the finance industry. Achieving Hyperautomation through AI and RPA, which uses a special set of tools to automate tasks. Working Experience NovNow Artificial Intelligence Engineer @ CTBC Taiwan Life Insurance AI Team DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt) 1.

unsupervised learning (pesudo labeling, Voxmorph model). 7. Experience with Docker, Git, Jenkins DevOps. Education: National Taiwan University of Science and Technology - Master of Information Engineering Experience: 2010 Wistron - Software Engineer 2015 Wistron - ML/DL Image Processing Engineer 2019 Wistron - Technical Manager 2020 MIT - Computer Science and Artificial Intelligence Laboratory (CSAIL) Visiting Engineer Competition: 2016 Ministry of Economic Affairs Bureau of Industry – Mastering the Data Context Hackathon Competition, Data Marketing Award 2017 Kaggle: The Nature Conservancy Fisheries Monitoring – bronze medal <6% 2018 Wistron Capital Entrepreneurship Competition 3rd place - Baby Guardian In 2020, I was fortunate to be

高子翔 我是Jeff，任職於零壹科技擔任售前規劃顧問，對BI工具、Tableau和RPA解決方案有一定程度的了解。 我的實習與工作職涯涵蓋了多面向的經歷，包括ERP諮詢、產業研究與分析、數位行銷、程式化購買等。此外，我也以Tableau Taiwan使用者群組的社團專家身分，積

in the workplace, the future trend will be towards lot ,big data and unmanned chemical factories, so I chose to return to the campus to continue to enrich myself. Elective Courses-8 subjects with a total average score :85.4 and GPA : 3.9. ➤ Advanced artificial intelligence: use Google Colab to analyze pm2.5 air pollution data, and use linear regression to predict stocks, use C# to write fish identification in the final report and automatically bring it into the optional cooking menu. ➤ Advanced data mining and huge data analysis: Use

of innovative projects. Curitiba, State of Paraná, [email protected] https://www.linkedin.com/in/raphael-marzalek-blasi-2b770b193 Work Experience JanuaryPresent Master level researcher Universidade Federal do Paraná Masters level researcher in the UFPR Research and Development project "Artificial Intelligence based on Cognitive Automation and Similarity Matching applied to Transmission and Generation Electrical Studies for Construction Efficiency and Management". Experience with ATP, ANAFAS and ANAREDE software, Programming in Python and Matlab for automation development. Implementation of NLP methods for semantic analysis and similarity search FebruaryJune 2023