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資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組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
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
・
神經科學
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
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Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
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Mechanical EngineeringPast
Senior Data Analyst @趨勢科技2022 ~ Present
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Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
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統計資訊學系
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
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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
Within one month
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
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
Within one month
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
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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
Within one month
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所
OPC Chief Engineer @TSMC2020 ~ Present
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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
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
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Ph.D. - Clinical Engineering
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
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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、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City，Taiwan • [email protected] 希望職務：人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好，我是潘揚燊，目前任職於 聯華電子 ， 擔任 智慧製造 全端開發工程師 ， 畢業於元智大學工業工程與管理學系研
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
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工業工程與管理學系所
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Present
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全端工程師、後端工程師、前端工程師、軟體專案主管、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
Within one month
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
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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
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Time Management
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Professional Background
Current status
Job Search Progress
Professions
Data Engineer
Fields of Employment
Software
Work experience
1-2 years
Management
Skills
Languages
Job search preferences
Positions
Machine Learning Developer
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
Malco Vidyalaya MHSS
Major
Electronics and Communication Engineering
Guruprasaad Durairaj
Having worked as a full stack developer in a startup, I started believing in passion fueled by skill. I am an enthusiastic team player looking for opportunities in Deep learning & AI fields, available to join immediately.
Deep Learning Developer • Chennai, IN • [email protected] • 9442680528
Education
Electronics and Communication Engineering • Karpagam College of Engineering • 2014 - 2018
Skills
Deep Learning
Time-series analysis , Financial stocks price prediction , Sentiment analysis ,Genetic programming ,openCV Image Manipulation , tensorflow , keras ,Neural Networks , CNN , RNN ,LSTM , Word2vec
Python
Fundamentals like Functional Programming , Decoraters . Experienced on Numpy , Maplotlib , Flask
Statictics
Naive Bayes , Monto carlo approaches,
R - GLM, GLMNET, NLS, SUR, MLE.
React.js
Developing , Debugging , Experienced on ES6 , Recent advances like Refs etc.
Node.js
Worked on Express.js , Nodemailer api , Google-puppeteer for datascraping.
C++
Generic programming , Functional Programming
Work Experience
Web Development , Dec 2017 - Jan 2018
- Successfully Developed and hosted the site
Web Development , Feb 2018 - March 2018
- Successfully Developed the site using React , React-router
- Created mailapi for the site using Nodemailer &Hosted on firebase successfully
Fullstack Developer (Elspectra) , April 2018
- Worked on GoogleAppEngine in python for adding custom search (Readmore)
- Experienced on Firebase Hosting & Debuging React.js Apps
Neural Networks , Jan 2018
- Built Neural networks from scratch in python and applied stochastic gradient to the network , Thus minimised the loss
Machine Learning , Feb 2019
- Datamining using pandas , numpy
- Visualization using matplotlib
- Gained more insights on how to optimise the model to better fit the data or change the hyperparameters
- Done projects on sentiment-analysis on realtime datasets
- Understood workflow of popular ML libaries of scikit-learn , keras , tensorflow
Deep Learning , Jan 2019 - Mar 2019
- Worked on CNNs - DeepDreaming using tensorflow
- Opensource Computer Vision
- Word2vec
- LSTM , RNNS
Courses
Introduction to Probability - The Science of Uncertainty
by EDX
Introduction to Statistics
Guruprasaad Durairaj
Having worked as a full stack developer in a startup, I started believing in passion fueled by skill. I am an enthusiastic team player looking for opportunities in Deep learning & AI fields, available to join immediately.
Deep Learning Developer • Chennai, IN • [email protected] • 9442680528
Education
Electronics and Communication Engineering • Karpagam College of Engineering • 2014 - 2018
Skills
Deep Learning
Time-series analysis , Financial stocks price prediction , Sentiment analysis ,Genetic programming ,openCV Image Manipulation , tensorflow , keras ,Neural Networks , CNN , RNN ,LSTM , Word2vec
Python
Fundamentals like Functional Programming , Decoraters . Experienced on Numpy , Maplotlib , Flask
Statictics
Naive Bayes , Monto carlo approaches,
R - GLM, GLMNET, NLS, SUR, MLE.
React.js
Developing , Debugging , Experienced on ES6 , Recent advances like Refs etc.
Node.js
Worked on Express.js , Nodemailer api , Google-puppeteer for datascraping.
C++
Generic programming , Functional Programming
Work Experience
Web Development , Dec 2017 - Jan 2018
- Successfully Developed and hosted the site
Web Development , Feb 2018 - March 2018
- Successfully Developed the site using React , React-router
- Created mailapi for the site using Nodemailer &Hosted on firebase successfully
Fullstack Developer (Elspectra) , April 2018
- Worked on GoogleAppEngine in python for adding custom search (Readmore)
- Experienced on Firebase Hosting & Debuging React.js Apps
Neural Networks , Jan 2018
- Built Neural networks from scratch in python and applied stochastic gradient to the network , Thus minimised the loss
Machine Learning , Feb 2019
- Datamining using pandas , numpy
- Visualization using matplotlib
- Gained more insights on how to optimise the model to better fit the data or change the hyperparameters
- Done projects on sentiment-analysis on realtime datasets
- Understood workflow of popular ML libaries of scikit-learn , keras , tensorflow
Deep Learning , Jan 2019 - Mar 2019
- Worked on CNNs - DeepDreaming using tensorflow
- Opensource Computer Vision
- Word2vec
- LSTM , RNNS
Courses
Introduction to Probability - The Science of Uncertainty
by EDX