Yun Hao Yang | Data Analyst | Industrial Engineer

Hi, I'm Yun Hao Yang.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

A graduate in industrial engineering from National Taiwan University. My academic focus has been on production management, machine learning, and data analysis. I bring practical experience through multiple internships in various industries, including conventional, panel, and semiconductor sectors. Please feel free to reach out to me for any further information or to discuss potential opportunities!

Languages: Visual Basic, C#, Python, R
Databases: MySQL, SQL
Libraries: NumPy, Pandas, scikit-learn, plotly
Tools & Technologies: Git, Docker

Education

NTU

Master

Master of Engineer in Industrial Engineering

Relevant Courseworks:

Data Analytic
Time Series Analytics
Linear Algebra and Its Applications.
Soft Computing Methods and Applications
Semiconductor Intelligent Manufacturing Systems
Introduction to Statistical Control and Optimization

Feb 2021 - Feb 2023 | Taipei, Taiwan

NTHU

Bachelor

Bachelor of Engineer in Industrial Engineering and Industrial Management

Relevant Courseworks:

Quality Control
Operation Research
Data Structures and Algorithms
Product Design and Development
Production Planning and Control

Sep 2016 - Feb 2021 | Hsinchu, Taiwan

Experience

TSMC

CIM Engineer

Automated acquisition of etching data with RPA.
Reduces machine data omissions while fetching.
provides parameter customization for horizontal deployment to other plants.
Parallel processing with R languages in series reduces overall program execution cycle time by 35%.
Tools: R, Visual Basic, UiPath, Docker

Aug 2021 - Sep 2021 | Taichung, Taiwan

Everest Textile

Data Analyst

Visualized Decision Support System for Weaving Production.
Create product history yield rate inspection platfrom
Visualizing status, logging and parameters of all 375 various looms in real-time.
Save 5% of feeding cost, warning of machine abnormalities, and shorten 60% of inspection time.
Tools: C#, Python, SQL

Aug 2019 - Sep 2019 | Tainan, Taiwan

Projects

                
Yield and Defect Analysis
                  A web-packaged user interface that visualize historical yield and quality data.
                
AccomplishmentsTools: Python, HTML, CSS, SQL.
presents the historical yield and defective rate.
A reference for quality control staff to track defective products.
A reference for production control staff for raw material input.

Machine Monitoring Program
                  Presents real-time machines status and parameters.
                
AccomplishmentsTools: C#, SQL, Dos, Access.
Alarm machines that stopped abnormally.
Show cumulative outputs and current status.
Used as a dashboard in the control center.

Vehicle Modification Display
                  An AR APP shows Vehicle Modification in augmented reality.
                
AccomplishmentsTools: C#, Unity, Vuforia.
Users can preview car wheel rim modification.
included different types and colors of the wheel rims.

Manufacturing Simulator
                  Simulates manufacturing system of mulitple unequal machines.
                
AccomplishmentsTools: C#.
Observe how unequal machines behave under same system.
Count The maximum number of WIP in the row.
Record the job scheduling of each machines.

Inventory Management Analysis
                  Simulates inventory level in supply & demand system.
                
AccomplishmentsTools: C#.
Determine the optimal amount of stock to keep on-hand.
Calculate shortage, holding, and setup cost under different service level.
Consider lead time to reorder the inventory.

Benchmark Problems Solver
                  Compare the difference between algorithms in problem solving.
                
AccomplishmentsTools: C#.
Included mulitple algorithms likes GA, PSO...
Parameters are fully customizable.
Visulize the soving process on the objective surface.

Anomaly Analysis
                  Analyse the panel manufacturing data with machine learning & data analysis methods.
                
AccomplishmentsTools: Python, html, JavaScript.
Distinguish and classify the highly imbalanced data.
Improve the classify performance through data preprocessing.
Visulize the high dimensonal data with various methods.

Car Accidents Severity Analysis
                  Construct data analytics model to predict car accident severity in CA.
                
AccomplishmentsTools: Python.
Visulize the accident sites on exactest geographical location.
Classify the severity level with mulitple machine learning models.
Discuss about the interactions between features.

Flexible Job Shop Scheduling
                  Propose a heuristic algorithm for the job and delivery scheduling problem of an FMS.
                
AccomplishmentsTools: C#.
Consider the dispatch of transportation equipments and transportation distances.
Shorten 36% Max-makespan to the referenced thesis.