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Data Science Competition Participant @Self-Employed
2020 ~ Present
資料科學家
Within one month
公司、學術會議以及Python社群 - 在數據競賽、業界工作和學術研究的不同職位中,展示出強大的團隊合作和領導能力 工作經歷 Data Science Competition Expert 一月Present | Taipei, TaiwanKaggle獎金競賽:Enefit -預測prosumers能源行為, 銀牌, 71th/2731 on public leaderboard (團隊成員西門子永續技術黑客松:”Swarm Behaviour on the Grid”, 第一
Microsoft Office
python
machine learning
Studying
Ready to interview
Full-time / Interested in working remotely
4-6 years
National University of Singapore
Department of building
Avatar of 孫郁喬.
Avatar of 孫郁喬.
Data Scientist/Machine Learning Engineer @CloudMile_萬里雲
2019 ~ Present
Data analyst, Machine Learning engineer.
Within six months
條件. • 畢業論文 : Model Decomposition for Activity Recognition and Reasoning.2015 輔仁大學, 學士學位, 資訊工程學系, Sep 2009 ~ June 2013 • 開發影像處理之Android應用程式 (Java, Android) Honors & Awards Data Science CompetitionBlack Friday Sales Prediction Top 1% inteamsData Science Bowl Top 4% in 3634 teams - TalkingData AdTracking Fraud Detection Challenge Top 16% in 3967 teams - House Prices: Advanced Regression Techniques Top 8 % in 4417 teams 技能 Programming - Python - Java - JavaScript - Golang - C - PHP Data Science - Machine Learning - Deep
Deep Learning
Data Analytics
Python
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University of Science and Technology
Computer Science
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data science lecturer @Ittraining
2020 ~ Present
Data Scientist 資料科學家_數據分析師
Within one month
分割): - Bronze medal (team): (Kaggle) Understanding Clouds from Satellite Images: Can you classify cloud structures from satellites? 2019/11/19 GAN (影像生成): - Bronze medal (solo): (Kaggle) Generative Dog Images: Experiment with creating puppy pics, 2019/08/29 Experience: .10/2020- Ittraining data science lecturer .08/2019- Data science lecturer for ITRI's AI vocational training class/ AI training lecturer for Taiwan water resources and agriculture research institute. .08//2019 Assistant professor/head to the department of cosmetic science and application, and department of environmental engineering
nlp-rasa
recommender system
pytorch tensorflow
Employed
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
School of civil engineering (Stochastic & statistical hydrology)
Avatar of 鄭凱元.
Avatar of 鄭凱元.
AI Engineer @TSMC 台積電
2022 ~ Present
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
. Mechanical Engineer (Vehicle Chassis), HAITEC, 2016//4 Design and develop steering wheel and airbag. SKILLS Programming Python C++ Development Tools PyTorch OpenCV Linux Docker Git Domain knowledge Super resolurion Object detection Face detection and recognition Machine Learning Web Crawling EDUCATION INSTITUTE FOR INFORMATION INDUSTRY Data Engineering and Data Analytics Intensive Training Program (2018//11) NATIONAL TAIWAN UNIVERSITY (NTU) Master of Mechanical Engineering (2013//7) NATIONAL TAIWAN UNIVERSITY (NTU) Bachelor of Mechanical Engineering (2009//6) CERTIFICATES Microsoft Professional Program: Data Science Certificate TOEIC Golden Certificate (915/990) PROJECTS
Python
machine learning
Linux
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣大學 (National Taiwan University)
機械工程研究所
Avatar of Ryan.
Offline
Avatar of Ryan.
Offline
Algorithm Engineer/ Data Scientist/ Sr. Project Management
More than one year
ETL management (Febnow) 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 (AprilOctLeverage 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 (JanSepI was in charge of the competition flow design, data
Python
Pyspark
Natural Language Processing
Full-time / Remote Only
4-6 years
Avatar of the user.
Avatar of the user.
post doc @RIKEN IMS
2021 ~ Present
Data Analyst/Data Scientist
More than one year
DNA Sequencing
RNAseq analysis
Flow Cytometry
Employed
Full-time / Interested in working remotely
6-10 years
Okinawa Institute of Science and Technology Graduate University
Immunology
Avatar of Chase Ross Emanuel.
Avatar of Chase Ross Emanuel.
Director of Strategic Partnerships @The Knowledge House
2016 ~ 2017
Director of Strategic Partnerships
More than one year
Tech Talent Pipeline for Data Analytics program designed to provide career training for low-income New Yorkers. • Led all markets in online prep course conversions the last three quarters in a row. • Launched "Python for Executives 1:1 Tutoring Program" for enterprise sales, converting two F500 executives leading data science teams. • Worked directly with various event partners including Silicon Valley Bank, 500 Startups, Techstars, SaasStock, TechDay NYC, Data Salon, School of Data, Moda Operandi, Sisense, Loom Network, Startup Weekend, and Startup Bus among others. • Host three invite-only VC breakfasts per month and make a dozen
Community Building
Strategic Partnerships
Relationship Management
Full-time / Interested in working remotely
10-15 years
University of Virginia
Sociology
Avatar of the user.
Avatar of the user.
BI specialist (Cognos, SPSS) @IBM
2009 ~ 2012
Data Architect
More than one year
Big Data
machine learning
Deep Learning
Full-time / Interested in working remotely
10-15 years
Polytech Marseille
Avatar of the user.
Avatar of the user.
資深程式設計師 @緯創軟體股份有限公司
2022 ~ Present
程式設計師
Within one month
JavaScript
JavaScript / ES6 / jQuery
HTML/CSS
Full-time / Interested in working remotely
6-10 years
台北市立大學
資訊科學
Avatar of 吳冠霆.
Avatar of 吳冠霆.
Software Engineer @AMIS 帳聯網路科技股份有限公司
2021 ~ Present
前端工程師 Front-End Developer
Within six months
Flexible Creative Know how Other related Experienced with API Platforms like Postman to test and communicate with others Experience in using Eslint and prettier for nice coding quality Language Speaks Mandarin and English Mandarine: native tongue English: fluent on communication TOEIC Golden Certificate GRE 323 TOEFL 104 Education NCCU - Computer Science ,Attended a Kaggle IR Competition, using TFIDF with Porter Stemming to get a result of Top 50% Created an broadcasting Android app "The cheif has something to say", which uses Parse Platform as our cloud audio database. User can broadcast their voice to other users within a certain
HTML/CSS
JavaScript
JavaScript / ES6 / jQuery
Employed
Full-time / Interested in working remotely
4-6 years
NCCU
Computer Science

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More than one year
Assistant Manager
Taiwan
Professional Background
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Job Search Progress
Professions
Data Scientist, Machine Learning Engineer
Fields of Employment
Work experience
4-6 years
Management
I've had experience in managing 5-10 people
Skills
Python
Pyspark
Natural Language Processing
Data Science
Data Engineering
Docker
Google Cloud Platform
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Algorithm Engineer/ Data Scientist/ Sr. Project Management
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Print
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
Profile
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