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陳韋傑
預計2023年9月進入國立臺灣大學資訊工程研究所就讀,畢業於國立臺灣大學資訊管理學系,修讀商業資料分析學分學程,大學期間曾於英國伯明罕大學交換一學期,主修Computer Science。
理性細心、熱愛思考、邏輯能力強。善於解決各種問題,能夠以不同面向去分析拆解,並同時注意各種小細節。
多次課程團隊專案經驗,使用過Python、C++等程式語言,對於網站建置、文字探勘、影像處理、資料分析、模型預測、機器學習等領域皆有基礎了解與實作經驗。相關專案可至個人作品集 https://github.com/JackChen890311/Projects 觀看。
曾於Inline Apps擔任營收管理實習生,除良好追蹤及管理公司營收之外,也以自身資訊專長加速公司各方面商業流程。此外也利用公司內部龐大的資料,來進行訂候位營運資料分析以及多項專案,為公司及合作企業帶來更多價值。
現於Ret[AI]ling Data 擔任機器學習實習生,開發並壓縮多種深度學習模型,再佈署於邊緣裝置上進行運算。主要圍繞在電腦視覺、人臉辨識、人流追蹤、籃球比賽分析等領域,為人類的日常生活引入人工智慧的力量。
Professional Background
Current status
Studying・Not open to opportunities
Profession
Data Scientist・Python Developer・Machine Learning Engineer
Fields
-
Work experience
1-2 years (1-2 years relevant)
Management
I've had experience in managing 1-5 people
Skills
WordPowerPointExcelPythonRC++HTML/CSSSQLMATLABLaTeXMachine Learning
Languages
Chinese・Native or Bilingual
English・Professional
Japanese・Beginner
Highest level of education
Bachelor
Job search preferences
Desired job type
Intern・Interested in working remotely
Desired positions
實習
Desired work locations
台灣台北市
Freelance
Part-time freelancer
Work Experience
Machine Learning Intern
August 2022 - Present7 mos
台灣台北市
- Built an end-to-end basketball game analysis system that can identify team and number of players, track movements of players, analyze body postures and team tactics, transform perspective and map it onto a tactical board using machine learning - Surveyed latest papers and adapted a different framework to resolve id-switching problem in object tracking (BoT-SORT) - Implemented finest architecture by integrating two models into one and increased performance by 30% (Multi-task SE-ResNet) - Experimented different image processing methods and increased team classification accuracy by 30% (Densepose) - Compressed and deployed deep learning models on edge machines (Jetson Nano), increased speed by 300%Revenue Team Intern
August 2020 - May 202110 mos
台灣台北市
- Tracked global revenue of NTD$15M/month and stabilized cash inflows for the company - Analyzed and visualized internal data to gain business insights and make informed decisions - Optimized and accelerated operational processes by 50% using automatic tools in many aspects - Led a team of 5 interns and interviewed applicants, allocated different jobs properly to achieve monthly target
Education
國立台灣大學(National Taiwan University)
Non-Degree Program (e.g. Coursera certificate)・商業資料分析學程
2021 - 2023
University of Birmingham
Non-Degree Program (e.g. Coursera certificate)・Computer Science
2022 - 2022
Description
Exchange Program

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