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4-6 years
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Taipei City, Taiwan
Avatar of 吳俊瑩.
Avatar of 吳俊瑩.
Past
Industrial Engineer @鴻海精密工業股份有限公司
2019 ~ 2023
Data Analyst 數據分析師 / Data Scientist 資料科學家
Within one month
據 ·思緒縝密、規劃能力強,領導團隊朝目標推進 ·積極主動、學習能力佳,持續吸收新知識 [email protected] 技能 Skills • Python • R • Power BI • MySQL • SAP • SAS • Pandas • Numpy • MatplotlibScikit-learn • Seaborn • TOEIC 705 工作經歷 Work Experience 鴻海 Foxconn Industrial Internet, IE工程師/AI專案分析師 , Feb 2019 ~ Jun工業4.0、 數位轉型專案推導 (70%): 協助工
python
R
SAP
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北大學 National Taipei University
經濟學
Avatar of 梁賦康 (Foo-Hong, Leong).
Avatar of 梁賦康 (Foo-Hong, Leong).
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
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
Python
Power BI
Data Analytics
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
Mechanical Engineering

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Technical Skills
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Within three months
Machine Learning Engineer / Orchestra Conductor
Logo of Binflux Inc..
Binflux Inc.
2021 ~ Present
台灣新北市
Professional Background
Current status
Employed
Job Search Progress
Professions
Software Engineer
Fields of Employment
Software
Work experience
2-4 years
Management
I've had experience in managing 5-10 people
Skills
Python
Languages
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大數據分析,資料科學家,資料工程師,AI工程師
Job types
Full-time
Locations
台灣台北
Remote
Interested in working remotely
Freelance
No
Educations
School
National Taiwan University
Major
null
Print

黃鈺倫|Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience



Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project


E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education



Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration

Resume
Profile

黃鈺倫|Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience



Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project


E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education



Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration