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Definition of Reputation Credits
LINTINGYI
Languages: Chinese (native), English (advanced), Japanese (advanced)
Skills: Python, SQL, ETL, Data Mining, Data Visualization
Summary:
I am now a RF application engineer and seek to change my career to challenge a data engineer .
I'm with a strong interest in software development and data science, I am constantly seeking new technologies and skills to improve my work. With experience in developing automated production and inspection machines using LabVIEW, NI-Vision, and state machines, and proficient in Python, SQL, I specialize in data modeling, data warehousing, ETL, data mining, and data visualization.
Hsinchu City, Taiwan 300
Work Experience
Application Engineer • Hexawave
November 2020 - Present
- Developed and maintained the data ETL using Python, SQL.
- Designed and implemented data models to support business intelligence and analytics solutions.
- Collaborated with cross-functional teams to integrate data from various sources and ensure data accuracy and consistency.
- Created data visualizations using tools such as Python Data Visualization to facilitate data analysis and reporting.
- Participated in the design and development of data-driven applications.
實習生 • AI academy
February 2022 - April 2022
Conducted a survey on culture and art across Japan, focusing on concert halls.
Built a crawler environment and collected data, organized data formats, and learned natural language processing.
Identified target features using statistical analysis and data visualization techniques.
Incorporated the company's environmental architecture model early on and received positive evaluations from senior colleagues.
Soft Engineer • FOXLINK Group
March 2017 - July 2019
Developed automated production machines, including automatic feeding systems, air leak systems, plug test systems, and package systems.
Controlled instruments such as IMAQ, Gilai, and camera control using PCI, PCIe, and IEEE1394a/b cards and motor cards.
Developed automated inspection machines, such as optical inspection systems, using NI-Vision and LabVIEW.
Compiled algorithms for automated laser engraving and inspection machines.
Engineer • Brawave Telecommunication
October 2014 - October 2016
Integrated and tested the Active Optical Cables (AOC) system using LabVIEW, NI-GPIB, NI-VISA, RS232 for PLC, NI-DAQmx, and NI 8451 I2C.
Set test and power supply parameters, checked connection status, and retrieved data from instruments such as BERT and oscilloscopes.
Analyzed data results and generated alarms.
Education
2021 - 2022
AI Academy
Other・Data analysis
2021-2022
Learned the basic grammar structure of Python, SQL, and Linux.
Gained proficiency in data processing, checking, and visualization.
Acquired knowledge of basic statistical terms and techniques and their use in Python, Excel, and R.
Studied machine learning principles and their practical application in various industries, including marketing, finance, and medicine.
Completed big data analysis projects independently, from data processing to analysis report preparation, and presented findings in a clear and understandable manner.
2010 - 2014
Natinal Chiayi University 國立嘉義大學
電子物理系
Recommendations
If you're interested in learning more about my experience and skills, please contact me at [[email protected]].
I also have a portfolio if you are interested, please view it
link [https://www.cakeresume.com/portfolios/data-analysis-works]
LINTINGYI
Languages: Chinese (native), English (advanced), Japanese (advanced)
Skills: Python, SQL, ETL, Data Mining, Data Visualization
Summary:
I am now a RF application engineer and seek to change my career to challenge a data engineer .
I'm with a strong interest in software development and data science, I am constantly seeking new technologies and skills to improve my work. With experience in developing automated production and inspection machines using LabVIEW, NI-Vision, and state machines, and proficient in Python, SQL, I specialize in data modeling, data warehousing, ETL, data mining, and data visualization.
Hsinchu City, Taiwan 300
Work Experience
Application Engineer • Hexawave
November 2020 - Present
- Developed and maintained the data ETL using Python, SQL.
- Designed and implemented data models to support business intelligence and analytics solutions.
- Collaborated with cross-functional teams to integrate data from various sources and ensure data accuracy and consistency.
- Created data visualizations using tools such as Python Data Visualization to facilitate data analysis and reporting.
- Participated in the design and development of data-driven applications.
實習生 • AI academy
February 2022 - April 2022
Conducted a survey on culture and art across Japan, focusing on concert halls.
Built a crawler environment and collected data, organized data formats, and learned natural language processing.
Identified target features using statistical analysis and data visualization techniques.
Incorporated the company's environmental architecture model early on and received positive evaluations from senior colleagues.
Soft Engineer • FOXLINK Group
March 2017 - July 2019
Developed automated production machines, including automatic feeding systems, air leak systems, plug test systems, and package systems.
Controlled instruments such as IMAQ, Gilai, and camera control using PCI, PCIe, and IEEE1394a/b cards and motor cards.
Developed automated inspection machines, such as optical inspection systems, using NI-Vision and LabVIEW.
Compiled algorithms for automated laser engraving and inspection machines.
Engineer • Brawave Telecommunication
October 2014 - October 2016
Integrated and tested the Active Optical Cables (AOC) system using LabVIEW, NI-GPIB, NI-VISA, RS232 for PLC, NI-DAQmx, and NI 8451 I2C.
Set test and power supply parameters, checked connection status, and retrieved data from instruments such as BERT and oscilloscopes.
Analyzed data results and generated alarms.
Education
2021 - 2022
AI Academy
Other・Data analysis
2021-2022
Learned the basic grammar structure of Python, SQL, and Linux.
Gained proficiency in data processing, checking, and visualization.
Acquired knowledge of basic statistical terms and techniques and their use in Python, Excel, and R.
Studied machine learning principles and their practical application in various industries, including marketing, finance, and medicine.
Completed big data analysis projects independently, from data processing to analysis report preparation, and presented findings in a clear and understandable manner.
2010 - 2014