Shanshan Wang
Verified Expert in Engineering
Data Scientist and Developer
Shanshan is a data scientist and machine learning engineer with versatile technical skills and a proven track record of effective project and team leadership. Her expertise includes machine learning, process simulation, optimization, end-to-end development, and deployment on cloud infrastructure like AWS.
Portfolio
Experience
Availability
Preferred Environment
Visual Studio Code (VS Code)
The most amazing...
...thing I've developed in the past six months is a location optimization tool that reduces staffing needs by 10%.
Work Experience
Data Science Manager
Arity
- Collaborated with lead data scientists and data engineers to support three product teams, namely user experiences, mobility SDK, and collection detection.
- Cooperated with a large team in designing a new deployment framework, which would reduce ML model edge deployment from months to weeks.
- Prototyped an industry’s first and only large-scale mobile-OBDII dual-sensor telematics dataset.
Lead Operations Researcher
General Electric
- Developed simulation models to improve manufacturing planning and operations like a silicon carbide MOSFET manufacturing semiconductor, NaMx battery plant, locomotive, and engine assembly.
- Built models to optimize new product offerings, such as cell therapy automation.
- Created a system analysis to understand electric vehicle adoption and infrastructure needs.
Experience
Location Optimization
The tool is deployed to help decision-making in various industries, including logistics, fleet planning, and infrastructure service maintenance.
Education
PhD in Industrial Engineering
Arizona State University - Tempe, AZ, USA
Bachelor's Degree in Computer Science
Fudan University - Shanghai, China
Certifications
AWS Certified Solutions Architect Associate
AWS
Skills
Languages
Python, Java
Other
Algorithms, Computer Science, Solution Design, Machine Learning, Optimization, APIs
Frameworks
Spark
Tools
AnyLogic
Platforms
Amazon Web Services (AWS), Docker, Visual Studio Code (VS Code)
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