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Data Scientist
De 4 a 6 años
6-10 años
10-15 años
Más de 15 años
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Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
En un mes
Python
SQL
NLP
Desempleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Chengchi University
資訊科學系
Avatar of 李昀庭.
Avatar of 李昀庭.
AI Engineer @Playsee
2022 ~ Presente
資料分析師、資料科學家、產品經理
En un mes
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Python
Project Management
Strategic Thinking
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Cheng Kung University
心理所(認知科學所)
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data science lecturer @Ittraining
2020 ~ Presente
Data Scientist 資料科學家_數據分析師
En un mes
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
nlp-rasa
recommender system
pytorch tensorflow
Empleado
Abierto a oportunidades
A tiempo parcial / Interesado en trabajar a distancia
Más de 15 años
Purdue University
School of civil engineering (Stochastic & statistical hydrology)
Avatar of Emily Ledoux.
Avatar of Emily Ledoux.
Principal @Kin + Carta
2022 ~ Presente
Director Data
En un mes
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
PowerPoint
Word
Excel
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
University of Pennsylvania
Economics
Avatar of YANG MENG-HAN.
Avatar of YANG MENG-HAN.
Business Analyst @EPSON TAIWAN TECHNOLOGY & TRADE CO., LTD
2021 ~ Presente
Data Analyst/Data Scientist
En un mes
every operational region. • Assessed parking lot value, consulted which one should be deprecated, where could develop new parking lot service. • Applied Airflow to ensure the stability and accuracy of data. Data Engineer • Breaktime INC. 四月十月 2019 • Crawled articles from different webs and constructed NLP model integrated text-CNN, Logistic, LightGBM, accuracy around 91%. • Analyzed content of articles to calculate content similarity, then recommended readers related articles to improve the click rate and pageview. • Interfaced with GA, dumped data to BigQuery then visualized data via Data Studio to help company partners grasping
python
machine learning
deep learning
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
台灣大學
生態學與演化生物學研究所
Avatar of Chun Yu, Ko.
Avatar of Chun Yu, Ko.
Deputy Data Team Lead @ALFRED SYSTEMS INC.
2022 ~ Presente
數據分析師、資料科學家
En el plazo de dos meses
bringing innovation and value. I am confident that through teamwork and innovative thinking, we can collectively face challenges and drive sustained business growth and success. SKIILS A/B Testing, North Star Metric, Data Context, Metrics Design, User Journey, Data Studio, Dashboard, Visualization, SQL, Python, R, Text Mining, NLP, Funnel Analysis, Study Design, Natural Experiment, Causal Inference, Case-Control Study, Cohort Study, Potential Outcome Framework, Causal Discovery, Growth Strategy/Framework, Survey Design/Analysis, Thoughtful Execution Framework, Communication, Workshop Taipei, Taiwan ([email protected] https://github.com/
R
Python
BigQuery
Empleado
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
東吳大學
資料科學
Avatar of Siao.
Avatar of Siao.
Machine Learning Engineer @現觀科技 Groundhog Technologies
2020 ~ Presente
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
En un mes
魏孝全 Siao 專業設計量化問題的統計量,有數據模擬、建模、驗證的經驗。 長期研究中文的自然語言處理,近期工作是處理 Real-time bidding 相關的問題。 Taipei, Taiwan 工作經歷 Machine Learning Engineer • 現觀科技 Groundhog Technologies - Real-time bidding strategy in digital advertising. - Ad selection, Budget Controller - CTR model inference time speed up 40% - CTR model training time speed up 600% - De-anonymization, Historical
R
python
Clickhouse
Empleado
Abierto a oportunidades
A tiempo completo / No está interesado en trabajar a distancia
De 4 a 6 años
國立政治大學
統計學
Avatar of Johnny Hsieh.
Avatar of Johnny Hsieh.
Founder @MorphusAI
2023 ~ Presente
Nope
En un mes
Johnny Hsieh Department of Life Science, Tunghai University [email protected] • Taipei, Taiwan I am a seasoned data scientist with over 8 years of experience specializing in the application of deep learning techniques to solve real-world challenges. In 2016, I co-founded PxTag Co., a company dedicated to utilizing computer vision technology to enhance Instagram branding efforts. My role expanded as I took on the position of AI Director at a fintech startup, responsible for designing and implementing a machine learning system that evaluates customer ratings based on personal and market financial data.
Solidity
blockchain development
Docker
Empleado
No está abierto a oportunidades
A tiempo completo / No está interesado en trabajar a distancia
De 4 a 6 años
Avatar of the user.
Avatar of the user.
Data Scientist @Vizuro
Manager
En un mes
AI & Machine Learning
Airflow
AWS
Empleado
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan University
Quantum Computation and Information Science and Technology
Avatar of the user.
Avatar of the user.
Data Scientist @Virgin Media
2018 ~ Presente
Data Scientist
En un año
R
SQL
Machine Learning
A tiempo completo / Interesado en trabajar a distancia
6-10 años
University of Southampton
Actuarial Science (1st class degree)

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Technical Skills
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Problem-Solving
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Adaptability
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Más de un año
Assistant Manager
Taiwan
Professional Background
Situación actual
Progreso en la búsqueda de empleo
Professions
Data Scientist, Machine Learning Engineer
Fields of Employment
Experiencia laboral
De 4 a 6 años
Management
I've had experience in managing 5-10 people
Habilidades
Python
Pyspark
Natural Language Processing
Data Science
Data Engineering
Docker
Google Cloud Platform
Idiomas
Job search preferences
Posición
Algorithm Engineer/ Data Scientist/ Sr. Project Management
Tipo de trabajo
A tiempo completo
Ubicación
A distancia
Sólo a distancia
Freelance
Educación
Escuela
Mayor
Imprimir
Ryan.jpg

Ryan Chao

[email protected]  •  0978903016  •  Taipei, Taiwan

Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.

Experience

PIXNET 

Assistant Manager, Aug 2020 - Sep 2022

  • Lead data team(Aug 2020 - now)
Lead  and manage  data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
    • Architecture and methodology review for data solutions and various data analytic tasks
    • Translate abstract business problems into solvable engineering components
    • Project planning and management
    • Goal alignment

Advanced  Algorithm Engineer, Oct 2017 - Aug 2020

  • Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
    A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
    • I lead the system architecture design
    • Handle concurrent traffic from over 5M users everyday
    • Leverage google cloud services such as GKE, GAE, and Pub/Sub.
  • General algorithm development in large scale (Oct 2017 - now)
    Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
    • PySpark dataframe programming
    • Recommendation algorithm design, improved and achieved the best performance at that time 
    • Various classification tasks
    • User profile construction with NLP.
    • Information retrieval based chat bot
  • Data warehousing and ETL management (Feb 2019 - now)
    I created some tools(e.g., airfly) to help us management our data more efficiently.  
    • Based on PySpark
    • Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
    • Metadata management.
    • More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
  • BI platform development (April 2019 - Oct 2019)
    • Leverage Google Dataproc to handle large scale adhoc queries for business team.
    • Provide daily user demographics, metrics and reports with datastudio.
  • Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
    • I was in charge of the competition flow design, data preparation, technical support, and so on.
    • For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN  at Taiwan R User Group

Former work experiences

Zuirens

Computer Vision Engineer, Sep 2016 - Sep 2017
  • Software and hardware integration planning. 
  • Object detection algorithm development based on OpenCV and C++/Python. 
  • Application Implementation based on Qt framework.
Backend Engineer, July 2016 - Sep 2017
  • Media server deployment for live streaming service. 
  • Crawler implementation and management. 
  • Web development planning.

Acuratek

Embedded Application Engineer, May 2015 - Jan 2016

  • POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc. 
  • Android development based on OTG application.

Mechtronic Integration Engineer, Sep 2014 - Sep 2015

  • 3-axis servo control with X-Y linear guideway installation.
  • Mechatronic system and software integration.
  • Application based on C# programming.

CORMA

Interactive Mechatronic Engineer, Aug 2013 - Aug 2014

  • Motors and sensors control based on Arduino.

Skills


Programming Languages

mainly Python for now (open-minded to other languages if needed)


Frameworks and Tools

PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.


Others

Linux, Emacs

Side Projects


  • airfly: a tool for auto generating Airflow dag file, 2021. [repo]
  • gutt: a tool for auto generating unit test template, 2021. [repo]
  • Spark CodeFight Hackathon, 2017. [repo]
  • OpenCV project for pattern matching and object tracking, 2017 [repo]
  • Conversation retrieval based chit-chat bot, 2017. [repo]
  • Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]

Awards & Honors


  • 2017 PyCon speaker, [slide]
  • 2017 HackNTU, Mentor.
  • 2016 PIXNET HACKATHON, "Best A.I. Cloze Award". 

Activities


  • Machine Learning Certification on Coursera, 2015. 
  • Deep learning 101 Study Group, study topic: RNN, 2017 - now. 
  • Spark Taiwan Study Group, 2016 - 2017.

Education


National Cheng Kung University, Taiwan

BS, Mechanical Engineering
Resume
Perfil
Ryan.jpg

Ryan Chao

[email protected]  •  0978903016  •  Taipei, Taiwan

Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.

Experience

PIXNET 

Assistant Manager, Aug 2020 - Sep 2022

  • Lead data team(Aug 2020 - now)
Lead  and manage  data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
    • Architecture and methodology review for data solutions and various data analytic tasks
    • Translate abstract business problems into solvable engineering components
    • Project planning and management
    • Goal alignment

Advanced  Algorithm Engineer, Oct 2017 - Aug 2020

  • Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
    A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
    • I lead the system architecture design
    • Handle concurrent traffic from over 5M users everyday
    • Leverage google cloud services such as GKE, GAE, and Pub/Sub.
  • General algorithm development in large scale (Oct 2017 - now)
    Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
    • PySpark dataframe programming
    • Recommendation algorithm design, improved and achieved the best performance at that time 
    • Various classification tasks
    • User profile construction with NLP.
    • Information retrieval based chat bot
  • Data warehousing and ETL management (Feb 2019 - now)
    I created some tools(e.g., airfly) to help us management our data more efficiently.  
    • Based on PySpark
    • Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
    • Metadata management.
    • More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
  • BI platform development (April 2019 - Oct 2019)
    • Leverage Google Dataproc to handle large scale adhoc queries for business team.
    • Provide daily user demographics, metrics and reports with datastudio.
  • Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
    • I was in charge of the competition flow design, data preparation, technical support, and so on.
    • For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN  at Taiwan R User Group

Former work experiences

Zuirens

Computer Vision Engineer, Sep 2016 - Sep 2017
  • Software and hardware integration planning. 
  • Object detection algorithm development based on OpenCV and C++/Python. 
  • Application Implementation based on Qt framework.
Backend Engineer, July 2016 - Sep 2017
  • Media server deployment for live streaming service. 
  • Crawler implementation and management. 
  • Web development planning.

Acuratek

Embedded Application Engineer, May 2015 - Jan 2016

  • POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc. 
  • Android development based on OTG application.

Mechtronic Integration Engineer, Sep 2014 - Sep 2015

  • 3-axis servo control with X-Y linear guideway installation.
  • Mechatronic system and software integration.
  • Application based on C# programming.

CORMA

Interactive Mechatronic Engineer, Aug 2013 - Aug 2014

  • Motors and sensors control based on Arduino.

Skills


Programming Languages

mainly Python for now (open-minded to other languages if needed)


Frameworks and Tools

PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.


Others

Linux, Emacs

Side Projects


  • airfly: a tool for auto generating Airflow dag file, 2021. [repo]
  • gutt: a tool for auto generating unit test template, 2021. [repo]
  • Spark CodeFight Hackathon, 2017. [repo]
  • OpenCV project for pattern matching and object tracking, 2017 [repo]
  • Conversation retrieval based chit-chat bot, 2017. [repo]
  • Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]

Awards & Honors


  • 2017 PyCon speaker, [slide]
  • 2017 HackNTU, Mentor.
  • 2016 PIXNET HACKATHON, "Best A.I. Cloze Award". 

Activities


  • Machine Learning Certification on Coursera, 2015. 
  • Deep learning 101 Study Group, study topic: RNN, 2017 - now. 
  • Spark Taiwan Study Group, 2016 - 2017.

Education


National Cheng Kung University, Taiwan

BS, Mechanical Engineering