Brad Lo Full Stack Engineer [email protected] Learning defines me; setbacks fuel growth. Dedicated to continuous learning and adapting to AI trends, I am committed to joining an innovative team ready to tackle challenges. Skills Software Experience HTM/CSS(Sass)/JavaScript:5yrs+ Vue.js:2yrs C#:5yrs+ Python(Django/PyQt5/Tkinter):5yrs+ SQL Server/MySQL/SQLite:3yrs+ Oracle DB:2yrs+ Java(Android):1yr+ C++(STM32/ESP32/Arduino):2yrs Web Development (Full Stack) Front-end:JavaScript,Vue.
etc. FW/SW Engineer, Wistron Corp. JunNovEmbedded System Integration SoC communication with MCU through I 2 C, SPI, UART USB HID control and USB descriptor definition Statistics and chart of device test results (Web application) Build socket server to receive testing results from devices Backend built with Django and MySQL for data collection and filtering Fontend using javascript library for data view and statistic chart Form of department digital transformation plan (Web application) Build with Golang native http package Connecting with LDAPS server for user authorization Assistant Engineer, Innovue Ltd. MarAprEnterprise Contract System Build with ASP
工作的意義不在盡可能賺更多錢,而是在去做你喜歡的、能讓你每天早上開心起床的事,如有更好的工作/合作機會,歡迎通知我。 Hello, I'm Allen Tsao from Nantou, Taiwan. I'm currently a student majoring in Physics at National Sun Yat-sen University. After graduation, I developed a strong passion for data science and analysis. I pursued additional training to gain the skills needed to enter the field. I completed the "IoT Application Design Program" offered by the Ministry of Labor's Workforce Development Agency and the "AI/Big Data Data Analyst Training Program" by the Institute for Information Industry.
After completing my training, I worked as an Intelligent Big Data Integration Engineer at 「Unimicron」, where I was responsible for planning, promoting, and establishing the group's big data technical roadmap. I also assisted the company in transitioning into Industry 4.0 and smart manufacturing.
Subsequently, I joined 「ASE Group」 as a Data Analyst. In this role, I used statistical analysis and machine learning techniques to help process units analyze data, build models, and interpret process parameter analysis results. I collaborated on turning these results into executable plans and tracking their effectiveness. My work also involved helping the factory gain insights into production and equipment conditions to enhance competitiveness.
I am currently working as a Data Analyst at 「Tong Hsing Electronic」, where I continue to deepen my skills and knowledge in the semiconductor packaging and testing industry.
To me, the significance of work is not solely about earning more money but doing what you love and waking up happy every morning. If there are better job or collaboration opportunities, please feel free to reach out to me.
Collecting data, defining labels, and cleaning data.
Performing data analysis and logical operations based on analytical needs.
Generating data visualization reports and creating related presentations.
Effectively utilizing the analysis results to assist the department in making decisions.
Communicating across departments and conducting requirement interviews.
日月光半導體製造股份有限公司, 數據分析師(Data Analyst),
May 2021 ~ Oct 2023
使用統計、機器學習等方法和分析工具協助工廠掌握生產/設備狀況,以提高競爭力
協助製程單位分析數據、建立模型、數據化解讀製程參數分析結果,並協同轉化成可執行方案,並追蹤方案成效
利用數據分析與儀表板設計軟體將分析的結果進行資料視覺化
專案執行與各單位溝通協調
Assist the factory in understanding production/equipment conditions and enhancing competitiveness using statistical, machine learning, and other analytical tools.
Aid process units in data analysis, model building, and data-driven interpretation of process parameter analysis results. Collaboratively transform these into executable plans and track their effectiveness.
Utilize data analysis and dashboard design software for data visualization of analysis results.
Execute projects and communicate and coordinate with various units.
Responsible for planning, promoting, and establishing the group's big data technical roadmap.
Responsible for data exploration, mining, integration, preprocessing, computation, management, and analysis of the group's big data.
Developing yield reports for various processes and creating charts for analysis.
Analyzing production data from group machines, using statistical analysis methods and machine learning to propose suitable algorithm models, and establishing analytical models to provide operational improvement recommendations to the factory.
In total, 670 hours of training were completed, including:
Relational Databases: 30 hours
Data Warehousing and Business Intelligence: 24 hours
Big Data Analysis Techniques and Tools: 84 hours
Big Data Storage and Processing: 30 hours
Data Mining Analysis: 30 hours
NoSQL: 24 hours
Object-Oriented System Analysis and Design (UML): 36 hours
Web Scraping: 60 hours
Python Programming and Data Analysis Implementation: 66 hours
R Software and Data Mining: 24 hours
Project Implementation: 180 hours
Python Programming and Introduction to AI (Artificial Intelligence): 82 hours
The training project involved the use of machine learning and deep learning for image processing and recognition. It incorporated consumer ratings and click behavior to create a recommendation system, helping users quickly find shoe styles that match their preferences.
Collecting economic data and establishing databases, developing and maintaining Python-related applications.
Conducting quantitative statistical analysis and strategy development.
Researching global macroeconomics, stock and commodity markets, and industries, and writing analytical research reports.
Engaging in other financial innovation and research-related tasks.
Supervising delegated tasks.
Using web scraping to gather stock price information from websites and conducting chart analysis to identify potential investment targets that meet specified criteria. Building and regularly updating a website for data collection, analysis, and research report writing. Concurrently, staying vigilant about various economic factors in the larger environment that could affect profitability, providing reference for investment decision-making.
勞動部勞動力發展署北基宜花金馬分署, 物聯網應用設計班 - 學員,
Apr 2018 ~ Sep 2018
共計920小時:
Linux作業系統,40小時
微控制器原理與應用,40小時
電子電路學,32小時
C語言實習,61小時
網頁設計實習,40小時
感測器應用實習,60小時
專題實作,24小時
硬體操作實務與維護,69小時
電腦繪圖(電路圖),80小時
積體電路設計與應用,40小時
網頁圖文編輯設計實作,24小時
APP程式設計與應用,40小時
VHDL程式設計,32小時
數位乙級術科實作,56小時
網路與網站架設實習,44小時
電子工作法(儀表操作),20小時
數位邏輯電路實習,36小時
儀表操作,28小時
檢定實作練習,103小時
In total, 920 hours of training were completed, including:
Linux Operating System: 40 hours
Microcontroller Principles and Applications: 40 hours
Electronics Circuitry: 32 hours
C Language Practice: 61 hours
Web Design Practice: 40 hours
Sensor Applications Practice: 60 hours
Project Implementation: 24 hours
Hardware Operations and Maintenance: 69 hours
Computer Graphics (Circuit Diagrams): 80 hours
Integrated Circuit Design and Applications: 40 hours
Web Graphics and Layout Design Practice: 24 hours
App Programming and Applications: 40 hours
VHDL Programming: 32 hours
Digital Electronics Practical Skills: 56 hours
Network and Website Construction Internship: 44 hours
Electronic Work Practices (Instrument Operation): 20 hours
工作的意義不在盡可能賺更多錢,而是在去做你喜歡的、能讓你每天早上開心起床的事,如有更好的工作/合作機會,歡迎通知我。 Hello, I'm Allen Tsao from Nantou, Taiwan. I'm currently a student majoring in Physics at National Sun Yat-sen University. After graduation, I developed a strong passion for data science and analysis. I pursued additional training to gain the skills needed to enter the field. I completed the "IoT Application Design Program" offered by the Ministry of Labor's Workforce Development Agency and the "AI/Big Data Data Analyst Training Program" by the Institute for Information Industry.
After completing my training, I worked as an Intelligent Big Data Integration Engineer at 「Unimicron」, where I was responsible for planning, promoting, and establishing the group's big data technical roadmap. I also assisted the company in transitioning into Industry 4.0 and smart manufacturing.
Subsequently, I joined 「ASE Group」 as a Data Analyst. In this role, I used statistical analysis and machine learning techniques to help process units analyze data, build models, and interpret process parameter analysis results. I collaborated on turning these results into executable plans and tracking their effectiveness. My work also involved helping the factory gain insights into production and equipment conditions to enhance competitiveness.
I am currently working as a Data Analyst at 「Tong Hsing Electronic」, where I continue to deepen my skills and knowledge in the semiconductor packaging and testing industry.
To me, the significance of work is not solely about earning more money but doing what you love and waking up happy every morning. If there are better job or collaboration opportunities, please feel free to reach out to me.
Collecting data, defining labels, and cleaning data.
Performing data analysis and logical operations based on analytical needs.
Generating data visualization reports and creating related presentations.
Effectively utilizing the analysis results to assist the department in making decisions.
Communicating across departments and conducting requirement interviews.
日月光半導體製造股份有限公司, 數據分析師(Data Analyst),
May 2021 ~ Oct 2023
使用統計、機器學習等方法和分析工具協助工廠掌握生產/設備狀況,以提高競爭力
協助製程單位分析數據、建立模型、數據化解讀製程參數分析結果,並協同轉化成可執行方案,並追蹤方案成效
利用數據分析與儀表板設計軟體將分析的結果進行資料視覺化
專案執行與各單位溝通協調
Assist the factory in understanding production/equipment conditions and enhancing competitiveness using statistical, machine learning, and other analytical tools.
Aid process units in data analysis, model building, and data-driven interpretation of process parameter analysis results. Collaboratively transform these into executable plans and track their effectiveness.
Utilize data analysis and dashboard design software for data visualization of analysis results.
Execute projects and communicate and coordinate with various units.
Responsible for planning, promoting, and establishing the group's big data technical roadmap.
Responsible for data exploration, mining, integration, preprocessing, computation, management, and analysis of the group's big data.
Developing yield reports for various processes and creating charts for analysis.
Analyzing production data from group machines, using statistical analysis methods and machine learning to propose suitable algorithm models, and establishing analytical models to provide operational improvement recommendations to the factory.
In total, 670 hours of training were completed, including:
Relational Databases: 30 hours
Data Warehousing and Business Intelligence: 24 hours
Big Data Analysis Techniques and Tools: 84 hours
Big Data Storage and Processing: 30 hours
Data Mining Analysis: 30 hours
NoSQL: 24 hours
Object-Oriented System Analysis and Design (UML): 36 hours
Web Scraping: 60 hours
Python Programming and Data Analysis Implementation: 66 hours
R Software and Data Mining: 24 hours
Project Implementation: 180 hours
Python Programming and Introduction to AI (Artificial Intelligence): 82 hours
The training project involved the use of machine learning and deep learning for image processing and recognition. It incorporated consumer ratings and click behavior to create a recommendation system, helping users quickly find shoe styles that match their preferences.
Collecting economic data and establishing databases, developing and maintaining Python-related applications.
Conducting quantitative statistical analysis and strategy development.
Researching global macroeconomics, stock and commodity markets, and industries, and writing analytical research reports.
Engaging in other financial innovation and research-related tasks.
Supervising delegated tasks.
Using web scraping to gather stock price information from websites and conducting chart analysis to identify potential investment targets that meet specified criteria. Building and regularly updating a website for data collection, analysis, and research report writing. Concurrently, staying vigilant about various economic factors in the larger environment that could affect profitability, providing reference for investment decision-making.
勞動部勞動力發展署北基宜花金馬分署, 物聯網應用設計班 - 學員,
Apr 2018 ~ Sep 2018
共計920小時:
Linux作業系統,40小時
微控制器原理與應用,40小時
電子電路學,32小時
C語言實習,61小時
網頁設計實習,40小時
感測器應用實習,60小時
專題實作,24小時
硬體操作實務與維護,69小時
電腦繪圖(電路圖),80小時
積體電路設計與應用,40小時
網頁圖文編輯設計實作,24小時
APP程式設計與應用,40小時
VHDL程式設計,32小時
數位乙級術科實作,56小時
網路與網站架設實習,44小時
電子工作法(儀表操作),20小時
數位邏輯電路實習,36小時
儀表操作,28小時
檢定實作練習,103小時
In total, 920 hours of training were completed, including:
Linux Operating System: 40 hours
Microcontroller Principles and Applications: 40 hours
Electronics Circuitry: 32 hours
C Language Practice: 61 hours
Web Design Practice: 40 hours
Sensor Applications Practice: 60 hours
Project Implementation: 24 hours
Hardware Operations and Maintenance: 69 hours
Computer Graphics (Circuit Diagrams): 80 hours
Integrated Circuit Design and Applications: 40 hours
Web Graphics and Layout Design Practice: 24 hours
App Programming and Applications: 40 hours
VHDL Programming: 32 hours
Digital Electronics Practical Skills: 56 hours
Network and Website Construction Internship: 44 hours
Electronic Work Practices (Instrument Operation): 20 hours