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國立成功大學 National Cheng Kung University
Avatar of 梁賦康 (Foo-Hong, Leong).
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Avatar of 梁賦康 (Foo-Hong, Leong).
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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
Avatar of 許鈺祥.
Avatar of 許鈺祥.
ERP資訊工程師 ERP Software Engineer @南茂科技股份有限公司 ChipMOS TECHNOLOGIES
2022 ~ Present
Engineer, SA, SD, Data Analyst, PM
Within one month
來自不同 資料 庫的 資料 。 使用深度學習檢測物件。 興趣:游泳、健身、烹飪、聽音樂、看劇 技能 語言: 中文 (Native)、English (Intermediate) 程式相關: C#、Java、Oracle SQL、Python、PL/SQL、webMethods&RosettaNet、VB6、VB.NET、VBA、WinForms、Windows Mobile、Dapper、DevExpress、NUnit、NLog、分散式系統 網頁相關: HTML、CSS、JavaScript、ASP.NET MVC、Web API、Web Service 版本控制: Azure DevOps Server 、Git、SVN、VSS 資
C#
Java
WebMethods
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Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
Industrial and Information Management
Avatar of the user.
Avatar of the user.
Past
Product Planning Team Lead @Gamania Digital Entertainment
2020 ~ 2021
產品經理 Product Manager
Within six months
Microsoft Office
Jira . Scrum . Agile
Problem Solving
Unemployed
Full-time / Interested in working remotely
4-6 years
國立成功大學 National Cheng Kung University
創意產業設計, Institute of Creative Industries Design

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Logo of 東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.).
東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)
2023 ~ 2023
Taoyuan City, Taiwan
Professional Background
Current status
Employed
Job Search Progress
Ready to interview
Professions
Back-end Engineer, Rotary Machine Engineer
Fields of Employment
Manufacturing
Work experience
6-10 years
Management
I've had experience in managing 1-5 people
Skills
Python
Power BI
Data Analytics
Machine Learning
Induction Motor Theory
Web Crawling
Marketing Strategy
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English
Fluent
Chinese
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Malay
Fluent
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Data Scientist, Data Analyst, Machine Learning Engineer
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Taipei, 台灣, New Taipei City, 台灣, Taoyuán, 台灣, Hsinchu City, Taiwan, Singapore, Malaysia
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Interested in working remotely
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School
國立成功大學 National Cheng Kung University
Major
Mechanical Engineering
Print

梁賦康 (Foo-Hong, Leong)

  Taoyuan City, Taiwan

Email: [email protected]

Tel: 0932187053

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 using Python to implement web crawling, OOP, and Pandas in my job, intend to let my work become more automated. I used those techniques to automate the data-gathering problem, which shorten the existing progress duration. I'm very passionate about Data Scientist and Machine Learning.

    

Work Experience

Product Manager  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

January 2023 - October 2023

1. Product Analytics
2. Market Trend Analytics
3. New Product Development Project Management
4. Industrial Induction Motor Instructor

Team Lead Supervisor  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

May 2021 - December 2022

1. Industrial Induction Motor Designer
2. R&D
3. Instructor of Oversea's Quotation and Engineering Department
4. Project Leader
-- Leading a team with 5 people

Senior Researcher  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

January 2020 - April 2021

1. Industrial Induction Motor Designer
2. R&D
3. Instructor of Oversea's Quotation and Engineering Department
4. Project Leader

Assistant Researcher  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

February 2015 - December 2019

1. Industrial Induction Motor Designer
2. R&D
3. Quotation and Engineering Consultant
4. Instructor of Oversea's Quotation and Engineering Department

Side Project

Genetic Algorithm Electrical Motor Design Program

This project is going to establish a program that can maximize the power density of electrical motor. This program can automatically design an electrical motor that has a lighter weight but the highest efficiency.  

Initialization: The motor design parameters become the genetic parameters, and motor characteristics will be set as the constraint parameters. 

Selection: Since the motor characteristic is a discrete type of data, therefore, fuzzy logic is carried out to define how good this chromosome is, which is the calculation of fitness. I use Deterministic Sampling for the first round of selection and then the Enlarged Sampling Space method for the rest generation. The Elitism Selection has also been used in the Selection Stage.

Genetic Operator: Double Crossover is the method that is used in the crossover operator.

  • Skills: Matlab · Genetic Algorithms

Pricing Web Crawling Program

This program solves the pricing update problem such as raw materials, accessories, and other parts. By combining the EFC Calculation Program, the complicated workload for every month's update can be more convenient.

  • Skills:Pandas (Software) · Web Crawling · OOP · Python

Stock Prediction by CNN

This project is about doing the stock prediction by CNN and using the triple barrier method to do the labeling.

Frontend: Streamlit

Crawling: Gather the data from the website by downloading the data or xpath to work on the data.

Data Preprocessing: 15 kinds of technical indicators are used to transform to a 15x15 pic, then drop those NA columns. The triple barrier method was used to do the labeling by inputting the upper bound of the stop profit and the lower bound of the stop loss, by the way, the holding period can be the input parameter also. Normalizing was used before transforming the data into a pic. by MinMaxScaler.

Training: I establish two different models which are the normal CNN model with RELU activation function and categorical cross-entropy with ADAM as optimizer to calculate the loss. The other one is using LeakyRELU as the activation function and RANGER optimizer in categorical cross-entropy loss calculation.

Finally, I will use the financial evaluation to calculate the profit I earn by using these two models.

  • SkillsPandas · Web Crawling · OOP · Github · Convolutional Neural Networks (CNN) · Python

Education


國立成功大學 National Cheng Kung University

Mechanical Engineering

Master Degree, 2012 - 2014

國立成功大學 National Cheng Kung University

Mechanical Engineering

Bachelor Degree, 2008 - 2012

Licenses and Certifications

TOEIC

ETC - Score: 855

Python Data Analytics Course

上台科技股份有限公司(達內教育TEDU)

210468000009668833
Issued April 2021 · 

Data Science: Modern Deep Learning in Python

Udemy

UC-8e281a65-b219-4c80-84fd-080d64600072
Issued May 2023 · 

The Python Mega Course: Learn Python in 50 Days with 20 Apps

Udemy

UC-9bad5f82-d2b4-45c6-9b18-9d65e64f458f
Issued March 2023 · 

Data Science: Deep Learning and Neural Networks in Python

Udemy

UC-76281cb5-4575-43a2-abaf-32271e5d4a0f
Issued March 2023 · 

數據思維課程

ALPHA CAMP


Issued February 2024 · 

Beginner's Guide to Power BI

ALPHA CAMP

Issued February 2024 · 

Top Skills

   Python      Power BI      Data Analytics      Machine Learning      Induction Motor Theory      Web Crawling      Marketing Strategy   

Languages

   English — Fluent      Chinese — Native or Bilingual      Malay — Fluent   

Resume
Profile

梁賦康 (Foo-Hong, Leong)

  Taoyuan City, Taiwan

Email: [email protected]

Tel: 0932187053

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 using Python to implement web crawling, OOP, and Pandas in my job, intend to let my work become more automated. I used those techniques to automate the data-gathering problem, which shorten the existing progress duration. I'm very passionate about Data Scientist and Machine Learning.

    

Work Experience

Product Manager  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

January 2023 - October 2023

1. Product Analytics
2. Market Trend Analytics
3. New Product Development Project Management
4. Industrial Induction Motor Instructor

Team Lead Supervisor  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

May 2021 - December 2022

1. Industrial Induction Motor Designer
2. R&D
3. Instructor of Oversea's Quotation and Engineering Department
4. Project Leader
-- Leading a team with 5 people

Senior Researcher  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

January 2020 - April 2021

1. Industrial Induction Motor Designer
2. R&D
3. Instructor of Oversea's Quotation and Engineering Department
4. Project Leader

Assistant Researcher  •  東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)

February 2015 - December 2019

1. Industrial Induction Motor Designer
2. R&D
3. Quotation and Engineering Consultant
4. Instructor of Oversea's Quotation and Engineering Department

Side Project

Genetic Algorithm Electrical Motor Design Program

This project is going to establish a program that can maximize the power density of electrical motor. This program can automatically design an electrical motor that has a lighter weight but the highest efficiency.  

Initialization: The motor design parameters become the genetic parameters, and motor characteristics will be set as the constraint parameters. 

Selection: Since the motor characteristic is a discrete type of data, therefore, fuzzy logic is carried out to define how good this chromosome is, which is the calculation of fitness. I use Deterministic Sampling for the first round of selection and then the Enlarged Sampling Space method for the rest generation. The Elitism Selection has also been used in the Selection Stage.

Genetic Operator: Double Crossover is the method that is used in the crossover operator.

  • Skills: Matlab · Genetic Algorithms

Pricing Web Crawling Program

This program solves the pricing update problem such as raw materials, accessories, and other parts. By combining the EFC Calculation Program, the complicated workload for every month's update can be more convenient.

  • Skills:Pandas (Software) · Web Crawling · OOP · Python

Stock Prediction by CNN

This project is about doing the stock prediction by CNN and using the triple barrier method to do the labeling.

Frontend: Streamlit

Crawling: Gather the data from the website by downloading the data or xpath to work on the data.

Data Preprocessing: 15 kinds of technical indicators are used to transform to a 15x15 pic, then drop those NA columns. The triple barrier method was used to do the labeling by inputting the upper bound of the stop profit and the lower bound of the stop loss, by the way, the holding period can be the input parameter also. Normalizing was used before transforming the data into a pic. by MinMaxScaler.

Training: I establish two different models which are the normal CNN model with RELU activation function and categorical cross-entropy with ADAM as optimizer to calculate the loss. The other one is using LeakyRELU as the activation function and RANGER optimizer in categorical cross-entropy loss calculation.

Finally, I will use the financial evaluation to calculate the profit I earn by using these two models.

  • SkillsPandas · Web Crawling · OOP · Github · Convolutional Neural Networks (CNN) · Python

Education


國立成功大學 National Cheng Kung University

Mechanical Engineering

Master Degree, 2012 - 2014

國立成功大學 National Cheng Kung University

Mechanical Engineering

Bachelor Degree, 2008 - 2012

Licenses and Certifications

TOEIC

ETC - Score: 855

Python Data Analytics Course

上台科技股份有限公司(達內教育TEDU)

210468000009668833
Issued April 2021 · 

Data Science: Modern Deep Learning in Python

Udemy

UC-8e281a65-b219-4c80-84fd-080d64600072
Issued May 2023 · 

The Python Mega Course: Learn Python in 50 Days with 20 Apps

Udemy

UC-9bad5f82-d2b4-45c6-9b18-9d65e64f458f
Issued March 2023 · 

Data Science: Deep Learning and Neural Networks in Python

Udemy

UC-76281cb5-4575-43a2-abaf-32271e5d4a0f
Issued March 2023 · 

數據思維課程

ALPHA CAMP


Issued February 2024 · 

Beginner's Guide to Power BI

ALPHA CAMP

Issued February 2024 · 

Top Skills

   Python      Power BI      Data Analytics      Machine Learning      Induction Motor Theory      Web Crawling      Marketing Strategy   

Languages

   English — Fluent      Chinese — Native or Bilingual      Malay — Fluent