NRC Flashcards
(3 cards)
- Conducted research on metal binder jetting and powder metallurgy technology, leveraging data analysis tools such as Pandas and Power BI to analyze complex datasets, visualize trends, and generate comprehensive reports to support ongoing research and development initiatives.
During my time with the National Research Council in the Advanced Manufacturing Division, I was working in a SCADA environment where I was responsible for collecting and processing large volumes of manufacturing sensor data.
I did this by developing data pipelines and APIs that would make that sensor data more accessible and usable for researchers and engineers.
A lot of my work was in integrating our high level systems like our database and orchestrator with PLCs, and control software like Ignition.
Additionally, I worked closely with R&D engineers to structure the data around their needs, creating database schemas and optimizing database performance.
- Contributed to the development of an automated thermal test bench, integrating a robotic arm to evaluate the structural integrity of 3D-printed metal specimens through controlled high-temperature exposure and rapid cooling.
For this project, I collaborated with mechanical engineers to build a rig for testing 3D-printed metal parts as part of our research on sustainable manufacturing, and my role focused on the software side.
I built the data acquisition and logging systems using Python, interfacing with PLCs over Modbus to collect real-time data such as temperature profiles, timing accuracy, and system status.
I also created a Python API to expose some of the collected data for live monitoring, as well as a command-line interface so engineers could adjust test parameters without needing to restart and recompile.
- Worked closely with engineering teams and other stakeholders to understand data requirements, support ongoing projects, and provide technical expertise in our SCADA operations, data handling and analysis.
Definitely. In my role at the NRC’s Advanced Manufacturing Division, I worked very closely with engineering teams.
A big part of my contribution was acting as a bridge between the data systems and the research goals.
My job was to understand the engineers and document what data they needed, figure out whether that data was available or could be captured, and then build the pipelines or tooling to make it accessible and meaningful.
