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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
國立成功大學 National Cheng Kung University
Avatar of 梁賦康 (Foo-Hong, Leong).
離線
Avatar of 梁賦康 (Foo-Hong, Leong).
離線
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
一個月內
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
就職中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
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 ~ 現在
Engineer, SA, SD, Data Analyst, PM
一個月內
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
就職中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學 National Cheng Kung University
Industrial and Information Management
Avatar of the user.
Avatar of the user.
曾任
Product Planning Team Lead @Gamania Digital Entertainment
2020 ~ 2021
產品經理 Product Manager
半年內
Microsoft Office
Jira . Scrum . Agile
Problem Solving
待業中
全職 / 對遠端工作有興趣
4 到 6 年
國立成功大學 National Cheng Kung University
創意產業設計, Institute of Creative Industries Design

最輕量、快速的招募方案,數百家企業的選擇

搜尋履歷,主動聯繫求職者,提升招募效率。

  • 瀏覽所有搜尋結果
  • 每日可無限次數開啟陌生對話
  • 搜尋僅開放付費企業檢視的履歷
  • 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
如果結果不夠多,再逐一刪除較不重要的關鍵字
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號,如果想濾掉中文字,需搭配雙引號使用 (-"人資")
UI designer -UX
免費方案僅能搜尋公開履歷。
升級至進階方案,即可瀏覽所有搜尋結果(包含數萬筆覽僅在 CakeResume 平台上公開的履歷)。

職場能力評價定義

專業技能
該領域中具備哪些專業能力(例如熟悉 SEO 操作,且會使用相關工具)。
問題解決能力
能洞察、分析問題,並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對,並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法,且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序,有效運用時間,準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感,願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展,有效引領團隊採取行動,達成共同目標。
一個月內
-
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
專業背景
目前狀態
就職中
求職階段
正在積極求職中
專業
後端開發人員, 旋轉機械工程師
產業
製造
工作年資
6 到 10 年
管理經歷
我有管理 1~5 人的經驗
技能
Python
Power BI
Data Analytics
Machine Learning
Induction Motor Theory
Web Crawling
Marketing Strategy
語言能力
English
進階
Chinese
母語或雙語
Malay
進階
求職偏好
希望獲得的職位
Data Scientist, Data Analyst, Machine Learning Engineer
預期工作模式
全職
期望的工作地點
Taipei, 台灣, New Taipei City, 台灣, Taoyuán, 台灣, Hsinchu City, Taiwan, Singapore, Malaysia
遠端工作意願
對遠端工作有興趣
接案服務
是,我利用業餘時間接案
學歷
學校
國立成功大學 National Cheng Kung University
主修科系
Mechanical Engineering
列印

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   

履歷
個人檔案

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