About Me
Hi, my name is Caleb Frey (pronounced KAY-LUB FRY). I’m a material scientist turned data engineer.
While I could make dashboards and visualizations, I’m much more interested in working behind the scenes to build out the collection, storage, and analysis of the data.
Education
- Rutgers, The State University of New Jersey.
- Master of Science in Material Science and Engineering (2021-2022)
- Thesis: “Toughening Brittle Materials through Heterogeneous Interfacial Modification”
- Research focus: Modeling highly toughened ceramic composites using the finite element method
- Advisor: Prof. Ryan B. Sills
- Bachelor of Science in Material Science and Engineering (2017-2021)
- Concentrations: Metallurgy; Renewable Energy and Storage
- Engineering Honors Academy
- Master of Science in Material Science and Engineering (2021-2022)
Skills
I’m willing to learn almost anything, but here’s what I know so far:
- Programming and Automation
- Python
- MATLAB
- Arduino
- Go
- Technology Skills
- Hardware knowledge
- Troubleshooting
- Linux (Fedora, Ubuntu)
- Software Skills
- Microsoft Power Platform
- Git
- Docker
- Microsoft Office suite
- LaTeX
- Bash
- Data management and analysis
- Power BI
- InfluxDB (time series database)
- MongoDB
- NoSQL
- Laboratory Skills
- Laboratory Safety
- Xray Diffraction
- Thermal Analysis (TGA, DSC)
- Mechanical Testing
Experience
-
Digital Transformation Specialist - Evonik Industries (2022-Present)
- Collaborate with an inter-departmental team to create best practice methods for laboratory data ops
- Implement these best practices using on-premise infrastructure for data security and accessibility
- Design, test, and troubleshoot low code apps and automations on the Microsoft Power Platform
- Create Power BI reports to monitor key performance metrics and inform project management decisions
-
Graduate Researcher - microMechanics of Deformation Research Group, Rutgers University (2020-2022)
- Model fracture in highly toughened composite materials to determine experimental feasibility
- Automate the generation, execution, and analysis of simulations to improve the model
- Develop a data pipeline for efficiently managing and analyzing large amounts of simulation results
- Collaborate with other group members to improve process automation and efficiency for the group
-
Undergraduate Research Technician - Riman Research Group, Rutgers University (2018-2020)
- Synthesize, process, and analyze samples in pursuit of sustainable building materials
- Create a sample database to manage material composition and characteristics
- Develop low-cost reactor control systems with centralized logging and control
-
Receptionist and IT Systems Administrator - Alpha Veterinary Care (2017-2022)
- Relay information and instructions between clients, technicians, and veterinarians
- Implement a data security framework with local redundant storage and off-site backups
- Modernize digital infrastructure with migration to a new server and phone system