Research Assistant at Binghamton University 2020-2021
Developed the research project of automatic CT scan Diagnosis for COVID-19 via transfer learning. Organized research articles and materials associated with research projects.
Hi I'm Chun-Yu Wu, a Data Scientist with Industrial Engineering background and 3+ years of experience using predictive modeling, operations research and data mining algorithms to solve challenging problems. Passionate about deep neural network.
Conduct data cleaning, transfroming and modeling in different sorts of datasets.
Conduct machine learning projects in healthcare field: ECG signals classification, CT Scan auto detection.
Monitor and manage warehouse distribution process. Provide improvement plans.
Extract and discover patterns and valuable information in large data sets.
Design linear programming problems to find optimal solution.
Optimize resources allocation through design and simulation manufacturing process.
Master of Science in Industrial and System Engineering
Bachelor of Science in Industrial Engineering and Enterprise Information
Developed the research project of automatic CT scan Diagnosis for COVID-19 via transfer learning. Organized research articles and materials associated with research projects.
Modeling and simulation - developed a pipeline of simulation model design of slide rail manufacturing process and analyzed the utilization of workstations. Data Extraction, Transform and Load - organized data and extracted data subset via PostgreSQL and conducted data cleaning with R.
Modeling and simulation - designed LED manufacturing process simulation model via Simul 8 and analyzed efficiency of workstations to identify the bottleneck in the process. Process improvement - provided solutions of productivity improvement to increase 5% of overall efficiency and cost reduction by resource allocation optimization.
Kaizen - set up standard operation procedure (SOP) and standard workforce of workstation in the packaging department. Developed packaging process simulation model and provided efficiency improvement plan via resources allocation optimization. Supply Chain management - Assisted products packaging and monitored inventory level, raw materials and collected data of production process.