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Senior Data Scientist - Principal Associate @Capital One2022 ~ 2024
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
曲培文 數據科學家 擁有五年以上數據科學及機器學習經驗 ， 曾於美國頂尖金融機構以Python開發與部署多項機器學習模型，並領導多項跨部門專案，提供 不同單位 數據驅動的解決方案 ，以優化公司業務流程並降低風險 。 技能: Python, SQL, AWS, Git, Tableau, Agile 語言: 英
In military service
・
Ready to interview
United States・Taiwan・South Korea
Full-time / Interested in working remotely
4-6 years
University of Maryland - Robert H. Smith School of Business
・
business analytics
商業分析師 @凱基商業銀行股份有限公司2021 ~ Present
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
hours daily for medical professionals. Calibrated and deployed a machine learning regression model for waveform predictions, enhancing accuracy for 500+ blood pressure monitors. Research Assistant Department of Computer Science, NCCU • August 2019–July 2020 Conducted opinion mining on 2,500 wine reviews using Transformer-based pre-trained language models. Delivered NLP coursework guidance to over 70 students as a Teaching Assistant. Account Manager Leo Burnett Taiwan • February 2017–May 2019 Orchestrated rebranding strategies for Chia Shin Cement Group, resulting in the only successful brand declaration campaign in five years. Localized branding materials and executed
Employed
・
Open to opportunities
Taiwan
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
數位內容
Digital Transformation Analyst @MAA CONSULTANTS LTD2024 ~ Present
・
實習生
Within one month
but have also refined my teamwork and project management skills. Currently, I am a part-time digital transformation engineer at MAA Consultant Co., Ltd., where I focus on driving digital innovation and improving operational efficiency. I have cultivated a comprehensive professional background that encompasses data analysis, natural language processing (NLP), statistical analysis, and scientific simulation. My proficiency in programming languages such as Python, C++, and MATLAB enables me to design, develop, and maintain sophisticated software applications. During my time at university, I had the privilege of serving as the president of the
Studying
・
Open to opportunities
Taiwan
Part-time / Interested in working remotely
4-6 years
National Tsing Hua University
・
Sports Studies
Employed
Taiwan
Full-time / Interested in working remotely
4-6 years
National Taiwan University of Science and Technology
・
Computer ScienceEmployed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
Algorithm Engineer/ Data Scientist/ Sr. Project Management
Within six months
Full-time / Remote Only
4-6 years
Software Engineer @TSMC 台積電2022 ~ Present
・
Data Scientist
Within one month
張詠翔 (Sean Chang) Sr. Data Scientist Sr. Data Scientist at KKLab, KKBOX Group Taipei, Taiwan https://www.seanchang.space 技能 ML Fundamentals tree-based models (bagging, boosting) NLP-related models (LM, NER, SA, ...) Programming Languages Python JavaScript Scala Go Frontend React React Native Backend & Database Express Flask & FastAPI SQLAlchemy MongoDB MySQL DevOps Docker Kubernetes AWS Ansible Helm GitLab CI Distributed Computing Apache Spark ML Frameworks & MLOps Tensorflow Scikit-learn Spark ML mlflow spaCy Data Visualization Plotly D3.js seaborn bokeh Miscellaneous Scrapy & Beautiful Soup 工作經
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
National Taiwan University
・
Economics
A.I Reseacher @Taipei Medical University2019 ~ Present
・
Algorithm Engineer/ Data Scientist/ Sr. Project Management
More than one year
Duc. Nguyen + 5-year experience in product & data field + Machine Learning/Deep Learning/Natural Language Processing + Python/R/SQL/Javascript + Qlik Sense/Tableau/PowerBI/Metabase Product Manager, Data Science City, TW [email protected] Work Experience Taipei Medical University, A.I Reseacher, Aug 2019 ~ Present ✓ A member of Natural Language Processing Lab ✓ Applying new state-of-the-art models such as ELMO, BERT, RoBERTa to get better accuracy or f1-score on public datasets ✓ Developing a system architecture of Big Data
Full-time / Interested in working remotely
4-6 years
Taipei Medical University
・
Data Science
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ Present
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
Within one month
Benjamin Deporte [email protected] AI/ML/Data Director X-MVA seasoned professional with 15+ years business experience in team and P&L management positions. Business acumen. Machine Learning expertise with MSc in Machine Learning, hands-on coding experience, and data science team management. Data security specialization with Executive MSc in Cybersecurity. Leadership, analytical, communication and language skills. Skills X-MVA - Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity and data security Leadership abilities, analytical, problem-solving, and communication skills Business acumen in multicultural, global organizations
Employed
France
Full-time / Interested in working remotely
6-10 years
Télécom Paris
・
Cybersecurity
Data Scientist/NLP Engineer @Entercoms2019 ~ Present
・
Data Scientist/NLP Engineer
More than one year
Manisha Madane ( Data Scientist ) Email Id : [email protected] Mobile No :years of experience in IT and comprehensive industry knowledge of Machine Learning, Data Analysis, Predictive Analysis, Data Manipulation, Data Mining, Data Visualization and Business Intelligence. 2.Experience in performing Feature Selection, Linear Regression, Logistic Regression, k - Means Clustering, Classification, Decision Tree, Supporting Vector Machines (SVM) , Naive Bayes, K-Nearest Neighbours (KNN) , Random Forest, and Gradient Descent, algorithms to train and test huge data sets. 3.Adept in statistical programming languages like Python. Expertized in Python data extraction and data manipulation, and widely
Full-time / Interested in working remotely
4-6 years
Pune University
・
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Professional Background
Current status
Employed
Job Search Progress
Professions
Data Scientist, Machine Learning Engineer, Software Engineer
Fields of Employment
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Fluent
Job search preferences
Positions
語音/聲音處理工程師、軟體工程師
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
Educations
School
National Taiwan University of Science and Technology
Major
Computer Science
簡靖岳
Graduated with a master degree in computer science from NTUST. Now working at Delta Electronics, Inc as a Senior AI engineer.
AI工程師
Taipei City, Taiwan
[email protected]
工作經歷
Delta Electronics, Inc. 台達電子, Senior AI Engineer, Aug 2020 ~ Now
Kenkone 康統醫學科技, AI Engineer, Nov 2020 ~ Jul 2024
Speech Technology Development
- Developed Mandarin-English and Japanese-English speech recognition systems.
- Deployed the speech recognition systems in major hospitals in Taiwan and Japan, achieving an error rate below 4% with minimal data fine-tuning, greatly improving user experience.
- Developed Keyword Spotting (KWS), Text-to-Speech (TTS), Speaker Recognition system
Natural Language Processing Technology Development
- Developed various large language model (LLM) systems using Retrieval-Augmented Generation (RAG), FSDP-QLoRA model fine-tuning, and model compression technologies.
- Developed LLM-based system that handles tasks such as generating medical reports, extracting medical keywords, and correcting errors in speech recognition.
- The LLM-based systems has been successfully deployed in Taiwanese hospitals, significantly reducing the time physicians spend writing reports while maintaining high-quality standards endorsed by hospital chiefs.
Collaborative Research and Development
- Collaborated with Intel Team to accelerate models using Intel openVINO technology, resulting in the development of a Federated Learning system across multiple hospitals.
Automation and Development Tools
- Developed online recording website, automatic labeling system, and microphone array recording system to accelerate the company's research and development process.
學歷
National Taiwan University of Science and Technology, 碩士學位, Computer Science, 2018 ~ 2020
National Taiwan University of Science and Technology, 學士學位, Computer Science, 2014 ~ 2018
技能
Speech Recognition
- toolkits such like KALDI, ESPNET, familiar with both hybrid and end-to-end ASR architectures
- Speech Signal Preprocessing, Decoding, Rescoring, Reranking
Large Language Model
- Fine-tuned LLAMA2, LLAMA3, phi-3, gemma models using FSDP-QLoRA technology
- Retrieval-Augmented Generation (RAG)
Familiar with Transformer-based Language Models
- BERT, ALBERT, RoBERTa
- GPT-3, InstructGPT
NLP Tasks
- Language Modeling
- Part-of-Speech Tagging, Named Entity Recognition
Projects
A BERT-based Language Modeling Framework
https://www.isca-archive.org/interspeech_2022/chien22b_interspeech.html
- Proposes a Mixture-of-Experts language model architecture that automatically predicts dynamic weights for each language model.
- Based on BERT and incorporating various classic language models such as N-gram, Cache, and knn-LM, it employs a RAG-like technique to form a robust dynamic mixture language model.
- On the public speech dataset, the dynamic mixture model achieved a word error rate (WER) of 6.51, the best performance among known methods at the time.
Novel Sequence Generation Framework for Chinese Abstractive Summarization
https://aclanthology.org/2019.rocling-1.2/
- Proposes a generative summarization model based on the BERT language model and the Pointer-Generator Network (PGN).
- Demonstrating superior performance compared to various baseline models and providing a significant benchmark for future research in the field of generative summarization.
RTAIS: Road Traffic Accident Information System
https://ieeexplore.ieee.org/document/8622968
- Developed a road traffic accident information system that utilizes drones to conveniently and efficiently process accidents.
- Accurately sketches digital accident diagrams, thoroughly collects evidence, effectively improves the quality of government services, and reduces social costs.
- Implemented in the Traffic Division of the Hualien County Police Department in Taiwan, reducing investigation time by 66%.
簡靖岳
Graduated with a master degree in computer science from NTUST. Now working at Delta Electronics, Inc as a Senior AI engineer.
AI工程師
Taipei City, Taiwan
[email protected]
工作經歷
Delta Electronics, Inc. 台達電子, Senior AI Engineer, Aug 2020 ~ Now
Kenkone 康統醫學科技, AI Engineer, Nov 2020 ~ Jul 2024
Speech Technology Development
- Developed Mandarin-English and Japanese-English speech recognition systems.
- Deployed the speech recognition systems in major hospitals in Taiwan and Japan, achieving an error rate below 4% with minimal data fine-tuning, greatly improving user experience.
- Developed Keyword Spotting (KWS), Text-to-Speech (TTS), Speaker Recognition system
Natural Language Processing Technology Development
- Developed various large language model (LLM) systems using Retrieval-Augmented Generation (RAG), FSDP-QLoRA model fine-tuning, and model compression technologies.
- Developed LLM-based system that handles tasks such as generating medical reports, extracting medical keywords, and correcting errors in speech recognition.
- The LLM-based systems has been successfully deployed in Taiwanese hospitals, significantly reducing the time physicians spend writing reports while maintaining high-quality standards endorsed by hospital chiefs.
Collaborative Research and Development
- Collaborated with Intel Team to accelerate models using Intel openVINO technology, resulting in the development of a Federated Learning system across multiple hospitals.
Automation and Development Tools
- Developed online recording website, automatic labeling system, and microphone array recording system to accelerate the company's research and development process.
學歷
National Taiwan University of Science and Technology, 碩士學位, Computer Science, 2018 ~ 2020
National Taiwan University of Science and Technology, 學士學位, Computer Science, 2014 ~ 2018
技能
Speech Recognition
- toolkits such like KALDI, ESPNET, familiar with both hybrid and end-to-end ASR architectures
- Speech Signal Preprocessing, Decoding, Rescoring, Reranking
Large Language Model
- Fine-tuned LLAMA2, LLAMA3, phi-3, gemma models using FSDP-QLoRA technology
- Retrieval-Augmented Generation (RAG)
Familiar with Transformer-based Language Models
- BERT, ALBERT, RoBERTa
- GPT-3, InstructGPT
NLP Tasks
- Language Modeling
- Part-of-Speech Tagging, Named Entity Recognition
Projects
A BERT-based Language Modeling Framework
https://www.isca-archive.org/interspeech_2022/chien22b_interspeech.html
- Proposes a Mixture-of-Experts language model architecture that automatically predicts dynamic weights for each language model.
- Based on BERT and incorporating various classic language models such as N-gram, Cache, and knn-LM, it employs a RAG-like technique to form a robust dynamic mixture language model.
- On the public speech dataset, the dynamic mixture model achieved a word error rate (WER) of 6.51, the best performance among known methods at the time.
Novel Sequence Generation Framework for Chinese Abstractive Summarization
https://aclanthology.org/2019.rocling-1.2/
- Proposes a generative summarization model based on the BERT language model and the Pointer-Generator Network (PGN).
- Demonstrating superior performance compared to various baseline models and providing a significant benchmark for future research in the field of generative summarization.
RTAIS: Road Traffic Accident Information System
https://ieeexplore.ieee.org/document/8622968
- Developed a road traffic accident information system that utilizes drones to conveniently and efficiently process accidents.
- Accurately sketches digital accident diagrams, thoroughly collects evidence, effectively improves the quality of government services, and reduces social costs.
- Implemented in the Traffic Division of the Hualien County Police Department in Taiwan, reducing investigation time by 66%.