Programmer Resume

SUMMARY:

2 years experiences in programming with Matlab, Python (NumPy, Pandas, Matplotlib, scikit - learn), and SQLite.
Data analysis and data visualization with Microsoft Excel, JMP, MiniTab and Matlab toolbox
Knowledge in Linux system, skilled in AutoCAD, ANASYS, and SolidWorks.
Experienced in Optimization Algorithm Development, Convex Optimization, Mixed-Integer Programming, Machine Learning, Data Mining Statistical Analysis, Hypothesis Test, Linear Regression.
Experienced in Operation Research, Lean Manufacturing, Manufacturing System Optimization, Statistical Process Control, Six Sigma.
Strong ability to cooperate with cross-team and cross-culture group as well as work independently as a self-motivator.
Strong communication skills including verbal and writing, bilingual (English and Chinese Mandarin)

RESEARCH & PROJECT EXPERIENCE:

Confidential

Programmer

Responsibilities:

Extracted and cleaned data from a large-scale (more than 300k raws and 100 columns) dataset by using Matlab, SQLite.
Developed multi-objective optimization algorithm (using Matlab) to reduce the inventory cost and improve the utilization of manufacturing system. The algorithm outperformed other existing algorithm within same computational complexity.
The proposed algorithm improves the utilization of operating room of Confidential . The patient flow was increased by 10.96% and the variation of patient flow was decreased by 14.46%.
Our research team obtained support from the Agency of Healthcare Research and Quality,

Confidential

Programmer

Responsibilities:

Data structure design and developed a database (SQLite) to collect the process data from the 3-D printer.
Developed the Android application (using C++ based on Qt ) to monitor the process of manufacturing
Developed an Android application to check the manufacturing process from the cell phone based on the TCP/IP protocol.
Project: Gearbox shell designing (based on SolidWorks)

Intern

Confidential

Responsibilities:

Data collection and analysis. Set the maintenance schedule for machines to improve the production quality Based on the Statistical Process Control (SPC) analysis, the production quality was increased by 17%
On-site equipment assembling and test.
Improved the design of basic components, based on the feedback from customers.