Beñat Froemming-Aldanondo
I am currently pursuing a Master’s degree in Computer Science at the University of Minnesota – Twin Cities, with an expected graduation in May 2026. I earned my undergraduate degree in Data Science from the same institution.
My goal is to make a meaningful impact through my work, and I am passionate about software engineering, artificial intelligence, data-driven systems, and geospatial technologies.
Education
Master of Science in Computer Science
University of Minnesota – Twin Cities
September 2025 – May 2026
GPA: 4.0 / 4.0
Bachelor of Science in Data Science
University of Minnesota – Twin Cities
September 2021 – May 2025
GPA: 3.75 / 4.0
Relevant Coursework:
Software Engineering · Data Structures & Algorithms · Computer Systems & Databases · Project Management · Machine Learning · Robotics · Artificial Intelligence · Computer Vision · Natural Language Processing · Recommender Systems · Deep Learning · Data Analytics · Geocomputing
Professional Experience
Software Engineer
The Toro Company
Bloomington, MN
September 2025 – Present
- Developed a full-stack fleet telemetry and battery health dashboard, leveraging Azure DevOps for CI/CD automation.
- Created the backend in Python and Flask for data extraction from Snowflake using optimized SQL queries.
- Designed an interactive frontend with React and Vite, incorporating live mapping and dynamic visualizations.
- Simplified hardware-software interaction by developing a GUI that handles complex API calls for engineering teams.
Engineering Data Analytics Intern
The Toro Company
Bloomington, MN
May 2025 – September 2025
- Increased telematics data accuracy by 55% by developing automated Python tests for the machine-to-cloud data pipeline.
- Developed tests using Pandas and Numpy to maintain data consistency across the pipeline and verify correct data publishing on CAN trigger events.
Research Experiences for Undergraduates (REU)
National Science Foundation (NSF)
Detroit, MI
May 2024 – August 2024
- Reduced vehicle idling time at intersections by 75% by developing adaptive speed-control algorithms.
- Prototyped a low-cost roadside unit for vehicle-to-infrastructure communication of real-time traffic signal states.
- Designed and deployed vision-based perception systems on electric vehicles using ROS, OpenCV, and Scikit-Learn.
Skills
Programming Languages:
Python · Java · C/C++ · JavaScript · TypeScript
Web & Software Development:
React · Next.js · HTML · CSS · Git · GitHub · Azure DevOps · VS Code · PostgreSQL · Supabase · Snowflake
Data Analytics & Engineering:
R · SQL · Excel · Power BI · Jupyter Notebook · Pandas · GeoPandas · NumPy · Matplotlib
AI & Machine Learning:
Scikit-Learn · PyTorch · OpenCV · Hugging Face · LangChain · XGBoost
Geospatial & Systems:
ArcGIS · ROS · Docker · Linux
Languages:
English (Proficient) · Spanish (Proficient) · Basque (Proficient)