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On
4〜6年
6〜10年
10〜15年
15年以上
資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
1ヶ月以内
陶俊良 (Tao,Chun-Liang) Taipei, Taiwan Email: [email protected] Phone:I am very sensitive to data and enjoy finding inspiration and ideas from them. I am proficient in machine learning, text analysis, and recommendation systems, EVM blockchain analytics, and currently use Python as my primary programming languages. I am always open to learning new things, such as learning new data structure from blockchain. I am currently very interested in blockchain data and on-chain user segamentation. I was working in digital media, advertising (DSP, SSP, DMP platforms), gaming user analyst, blockchain
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
臺灣大學
・
流行病學與預防醫學所 生物統計組
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
1ヶ月以内
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
元智大學 Yuan Ze University
・
工業工程與管理學系所Past
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
1ヶ月以内
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
洛桑聯邦理工學院(EPFL)
・
神經科學
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
1ヶ月以内
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立臺北科技大學
・
資訊工程AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立政治大學（National Chengchi University）
・
資訊科學系
Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist 城市，TW [email protected] 工作經歷 獨角獸多媒體
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
中國醫藥大學(China Medical University)
・
臨床醫學研究所
OPC Chief Engineer @TSMC2020 ~ 現在
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
1ヶ月以内
梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
Past
Senior Data Analyst @趨勢科技2022 ~ 現在
・
Data Scientist, Data Analyst, Machine Learning Engineer
1ヶ月以内
customers by using statistical methods and machine learning methods. Developing automation regular reports, maintaining SQL store procedures, Tableau dashboards and Power BI dashboards. Cooperated with cross-functional team (Product, Marketing, Platform, PM, IT, Sales) to provide timely and accuracy business insight analysis. Developing automated web crawler on MMA website to collect ETF, fund, bond information. Skill : Microsoft SQL Server · Microsoft Power BI · Data Cubes · R · Python · Tableau · Web Crawling · machine learning · IMPALA · HIVE · Git · Docker Data Analyst • Catchplay AprOct 2020 Indonesia OTT customer profile analysis - Collecting, analyzing and evaluating data and campaign performa...
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
1ヶ月以内
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力，擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
無職
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
National Chengchi University
・
資訊科學系最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
検索のコツ
1
Search a precise keyword combination
senior backend php
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Use quotes to search for an exact phrase
"business development"
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UI designer -UX
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Data Engineer
Fields of Employment
ソフトウェア
職務経験
4〜6年の職務経験（2〜4年関連）
Management
スキル
言語
English
・
中級者
Job search preferences
希望のポジション
機器學習 深度學習 人工智慧 演算法工程師
求人タイプ
フルタイム
希望の勤務地
リモートワーク
リモートワークに興味あり
Freelance
学歴
学校
國立成功大學
専攻
機械工程研究所
Wu, Chung-Yi
I major in Mechanical Engineering, but I have a strong passion for programming. I possess skills in Machine Learning, Deep Learning, and Artificial Intelligence.
Email: [email protected]
Phone: 0970-798-667
https://github.com/Chung-Yi
Education
National Cheng Kung University
Master of Mechanical Engineering in thermos-fluid science
Sep 2014 – July 2016
- Relevant Coursework: Conduction Heat Transfer, CFD, Viscous Fluid Mechanics, Engineering Analysis, Advanced Thermodynamics, Fortran
- Papers: IEEE International Conference on Applied System Innovation, Applied Thermal Engineering
- I utilized programming and inverse methods, along with test data, to forecast the heat transfer coefficient on the plate fins within a rectangular enclosure with two openings. The study findings indicated that more accurate results could be achieved if the resulting heat transfer coefficient and fin temperature obtained at the selected measurement locations closely matched the inverse results and the experimental temperature data, respectively.
National Cheng Kung University
Bachelors of Hydraulic and Ocean Engineering
Sep 2010 – June 2014
- Relevant Coursework: Water Resources Engineering, Fluid Mechanics, Wave Mechanics, Coastal and Ocean Engineering
Work Experience
ITRI, Data Analyst, Oct 2023 - now
- Leading the analysis of battery data aging using algorithms to extract insights and identify influential factors. The objective is to predict battery aging in advance and establish early warning mechanisms. Additionally, implementing on-screen visualization of predictive results ensures a user-friendly experience, grounded in empirical evidence.
- Engage in collaborative efforts with various departments, academic institutions, and suppliers to develop robust data platforms.
Advantech, Software Engineer, Apr 2022 - Sep 2023
- Proficient in comprehensive system integration, including hardware, software, and customer-centric design services.
- Skilled in front-end development with TypeScript and React and in back-end development to establish API with Go.
- Integrating Grafana dashboard to visualize data.
- Cross-departmental discussions on machine learning with team members.
Astra, Software Engineer, Nov 2018 - Jun 2020
- Image recognition:
I implemented face classification, including feature extraction and model training.
- License Plate Recognition: Development of license plate recognition system, involving object detection, object tracking, algorithmic character string segmentation, and other techniques.
- Flood Prediction: Utilizing deep learning techniques to identify flooded areas and estimate flood depths.
- backend API: Collaborated with backend engineers on product development, designing APIs and integrating with the frontend.
Skills
Programming
Python, Go, C, MATLAB, Fortran
Machine Learning
OpenCV, TensorFlow, NumPy, Keras
Others
Git, Linux, Raspberry Pi, Bot Framework,
Dialog
Projects
Restaurant Booking System
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
Machine Learning - Self Driving (Object Detection)
- Using web camera along with OpenCV to recognize the traffic lights signal.
- Using GPIO to control brightness of traffic lights.
- Using socket skill to connect server to calculate and return commands to Raspberry Pi car.
- Implementing yolov3 to detect objects.
- Demo: https://www.youtube.com/watch?v=6ZgfNQQ_ruQ
Punch Time Clock System
- Calculating working hours and wage automatically replaces traditional punch clock
- Using ML skills include CNN(training model), OpenCV(processing images), Go language
Face Classification (Head Pose Estimation)
- Detecting profile face and side face. Calculating face roll, yow and pitch angle to know which one is profile face. We need to filter the side face in the punch clock system.
- Using Python, Keras, OpenCV, TensorFlow
Age and Gender Detection
- Detecting age and gender of an image. The scenario such as in the convenience store, they can know the age and gender distribution of their customers.
- Using Python, Keras, OpenCV, TensorFlow
License Plate Recognition
- Detecting and classify multiple vehicle types (truck, bus, bicycle, car) automatically from rtsp.
- Detecting license plate from car image with wpod-net method
- Using Optical Character Recognition(OCR) to recognize the extracted characters of an license plate or CRNN to recognize the characters.
- Using yolov5, OpenCV, TensorFlow
Vehicle Counting
- Detect and classify multiple vehicle types (truck, bus, bicycle, car) automatically.
- Track multiple detected objects and count them in real-time as they pass a specific area
- Using yolov5, OpenCV, TensorFlow
Crawler
- Due to the majority of face images being foreign faces, using these images for face classification may result in errors. I implemented a solution to collect Asian faces from Facebook Groups and Fan Pages. Additionally, in scenarios such as exhibitions, we utilize a web camera and a face model to extract face information including age and gender from images captured at the exhibition.
- Using Go, Facebook API, AWS service, Docker
Certifications
- Udemy:
- Go: The Complete Developer's Guide (Golang) https://www.udemy.com/certificate/UC-PE7AQY3C/
- Deep Learning and Computer Vision A-Z™ https://www.udemy.com/certificate/UC-HL1CVVQ8/
- Coursera:
- Machine Learning(Stanford) https://coursera.org/share/947e0508f708324258954fb12900bf9c
Study Group
I am also a member of the study group. There are four members, we always study knowledge about machine learning and deep learning. We study paper and join online competition. We also write some technical article to share with others in Medium (https://medium.com/chung-yi/ml%E5%85%A5%E9%96%80-%E4%B8%80-14bac59730b6) or Hackmd(https://hackmd.io/?nav=overview).
In 2021/10/27~2022/01/06, We joined T-Brain competition, our ranking in the competition is 183 out of 859.
In 2022/04~2022/10, We joined AIGO competition, our ranking in the competition is 2nd.
In 2023/04~2023/10, We joined AI 應用鬥智賽 competition, our ranking in the competition is 4th.
Personal
Language
Chinese(native), English(fluent)
Interests
Programming, Basketball, Sing, Listen to music, Travel, Share experiences with others
Summary
With all the qualities and the training, I think I have been equipped with all the skills necessary to tackle any difficulties as a Data Science Engineer. I firmly believe that the experiences will help me to work as a competent engineer in the future. I am ready to welcome the new stage in my life. Your company has a healthy corporate culture, and there is no doubt that it can bring out the best in me. Hence, I wish I could be accepted by you, and I will do my best to meet your expectation.
Wu, Chung-Yi
I major in Mechanical Engineering, but I have a strong passion for programming. I possess skills in Machine Learning, Deep Learning, and Artificial Intelligence.
Email: [email protected]
Phone: 0970-798-667
https://github.com/Chung-Yi
Education
National Cheng Kung University
Master of Mechanical Engineering in thermos-fluid science
Sep 2014 – July 2016
- Relevant Coursework: Conduction Heat Transfer, CFD, Viscous Fluid Mechanics, Engineering Analysis, Advanced Thermodynamics, Fortran
- Papers: IEEE International Conference on Applied System Innovation, Applied Thermal Engineering
- I utilized programming and inverse methods, along with test data, to forecast the heat transfer coefficient on the plate fins within a rectangular enclosure with two openings. The study findings indicated that more accurate results could be achieved if the resulting heat transfer coefficient and fin temperature obtained at the selected measurement locations closely matched the inverse results and the experimental temperature data, respectively.
National Cheng Kung University
Bachelors of Hydraulic and Ocean Engineering
Sep 2010 – June 2014
- Relevant Coursework: Water Resources Engineering, Fluid Mechanics, Wave Mechanics, Coastal and Ocean Engineering
Work Experience
ITRI, Data Analyst, Oct 2023 - now
- Leading the analysis of battery data aging using algorithms to extract insights and identify influential factors. The objective is to predict battery aging in advance and establish early warning mechanisms. Additionally, implementing on-screen visualization of predictive results ensures a user-friendly experience, grounded in empirical evidence.
- Engage in collaborative efforts with various departments, academic institutions, and suppliers to develop robust data platforms.
Advantech, Software Engineer, Apr 2022 - Sep 2023
- Proficient in comprehensive system integration, including hardware, software, and customer-centric design services.
- Skilled in front-end development with TypeScript and React and in back-end development to establish API with Go.
- Integrating Grafana dashboard to visualize data.
- Cross-departmental discussions on machine learning with team members.
Astra, Software Engineer, Nov 2018 - Jun 2020
- Image recognition:
I implemented face classification, including feature extraction and model training.
- License Plate Recognition: Development of license plate recognition system, involving object detection, object tracking, algorithmic character string segmentation, and other techniques.
- Flood Prediction: Utilizing deep learning techniques to identify flooded areas and estimate flood depths.
- backend API: Collaborated with backend engineers on product development, designing APIs and integrating with the frontend.
Skills
Programming
Python, Go, C, MATLAB, Fortran
Machine Learning
OpenCV, TensorFlow, NumPy, Keras
Others
Git, Linux, Raspberry Pi, Bot Framework,
Dialog
Projects
Restaurant Booking System
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
I was responsible for member-login. Using Python, Django, and JavaScript to finish the web server system. Members not only can book, but can make some comments to this restaurants for improving.
Chat Bot-Road Condition Search System
Using Microsoft Bot Framework along with API to get the road-information in Taiwan.
Machine Learning - Self Driving (Object Detection)
- Using web camera along with OpenCV to recognize the traffic lights signal.
- Using GPIO to control brightness of traffic lights.
- Using socket skill to connect server to calculate and return commands to Raspberry Pi car.
- Implementing yolov3 to detect objects.
- Demo: https://www.youtube.com/watch?v=6ZgfNQQ_ruQ
Punch Time Clock System
- Calculating working hours and wage automatically replaces traditional punch clock
- Using ML skills include CNN(training model), OpenCV(processing images), Go language
Face Classification (Head Pose Estimation)
- Detecting profile face and side face. Calculating face roll, yow and pitch angle to know which one is profile face. We need to filter the side face in the punch clock system.
- Using Python, Keras, OpenCV, TensorFlow
Age and Gender Detection
- Detecting age and gender of an image. The scenario such as in the convenience store, they can know the age and gender distribution of their customers.
- Using Python, Keras, OpenCV, TensorFlow
License Plate Recognition
- Detecting and classify multiple vehicle types (truck, bus, bicycle, car) automatically from rtsp.
- Detecting license plate from car image with wpod-net method
- Using Optical Character Recognition(OCR) to recognize the extracted characters of an license plate or CRNN to recognize the characters.
- Using yolov5, OpenCV, TensorFlow
Vehicle Counting
- Detect and classify multiple vehicle types (truck, bus, bicycle, car) automatically.
- Track multiple detected objects and count them in real-time as they pass a specific area
- Using yolov5, OpenCV, TensorFlow
Crawler
- Due to the majority of face images being foreign faces, using these images for face classification may result in errors. I implemented a solution to collect Asian faces from Facebook Groups and Fan Pages. Additionally, in scenarios such as exhibitions, we utilize a web camera and a face model to extract face information including age and gender from images captured at the exhibition.
- Using Go, Facebook API, AWS service, Docker
Certifications
- Udemy:
- Go: The Complete Developer's Guide (Golang) https://www.udemy.com/certificate/UC-PE7AQY3C/
- Deep Learning and Computer Vision A-Z™ https://www.udemy.com/certificate/UC-HL1CVVQ8/
- Coursera:
- Machine Learning(Stanford) https://coursera.org/share/947e0508f708324258954fb12900bf9c
Study Group
I am also a member of the study group. There are four members, we always study knowledge about machine learning and deep learning. We study paper and join online competition. We also write some technical article to share with others in Medium (https://medium.com/chung-yi/ml%E5%85%A5%E9%96%80-%E4%B8%80-14bac59730b6) or Hackmd(https://hackmd.io/?nav=overview).
In 2021/10/27~2022/01/06, We joined T-Brain competition, our ranking in the competition is 183 out of 859.
In 2022/04~2022/10, We joined AIGO competition, our ranking in the competition is 2nd.
In 2023/04~2023/10, We joined AI 應用鬥智賽 competition, our ranking in the competition is 4th.
Personal
Language
Chinese(native), English(fluent)
Interests
Programming, Basketball, Sing, Listen to music, Travel, Share experiences with others
Summary
With all the qualities and the training, I think I have been equipped with all the skills necessary to tackle any difficulties as a Data Science Engineer. I firmly believe that the experiences will help me to work as a competent engineer in the future. I am ready to welcome the new stage in my life. Your company has a healthy corporate culture, and there is no doubt that it can bring out the best in me. Hence, I wish I could be accepted by you, and I will do my best to meet your expectation.