masa-umich/mcnugget
Oct 2024 – Dec 2024
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
Data ProcessingData VisualizationMatplotlibNumPyPandasPython
iausin
PROFILE
Iausin
During their work on the masa-umich/mcnugget repository, Ian Austin developed an end-to-end RPM data processing and visualization pipeline, handling CSV ingestion, voltage and time parsing, and computation of revolutions per second. Using Python, Pandas, and Matplotlib, Ian enabled time-series analysis and generated plots for voltage and RPM trends, supporting rapid data quality checks and monitoring. In a subsequent feature, Ian expanded the McNugget Putty training dataset by adding extensive numerical data, facilitating larger-scale experiments and improved model training. All contributions were version-controlled with traceable commits, demonstrating careful data engineering, reproducibility, and a focus on scalable, maintainable workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
381,152
Activity Months2
Your Network
192 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024Monthly summary for December 2024 (masa-umich/mcnugget): Key feature delivered: expansion of McNugget Putty training data by adding numerous numerical data points to mcnugget/putty_new2k.csv, enabling larger-scale experiments and improved model training. Major bugs fixed: none reported this month. Overall impact and accomplishments: increased data coverage and readiness for model training, with traceable changes committed for reproducibility (commit 448d76c55b0bb9c7c67a248c53c4e4a6df28bb5c). Technologies/skills demonstrated: data engineering, dataset curation, CSV handling, and rigorous version control practices. Business value: accelerates model development and validation, supports scalable data pipelines, and strengthens data-driven decision making.
1 Commits • 1 Features
Dec 1, 2024Monthly summary for December 2024 (masa-umich/mcnugget): Key feature delivered: expansion of McNugget Putty training data by adding numerous numerical data points to mcnugget/putty_new2k.csv, enabling larger-scale experiments and improved model training. Major bugs fixed: none reported this month. Overall impact and accomplishments: increased data coverage and readiness for model training, with traceable changes committed for reproducibility (commit 448d76c55b0bb9c7c67a248c53c4e4a6df28bb5c). Technologies/skills demonstrated: data engineering, dataset curation, CSV handling, and rigorous version control practices. Business value: accelerates model development and validation, supports scalable data pipelines, and strengthens data-driven decision making.
December 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Month 2024-10: Delivered RPM Data Processing and Visualization feature for masa-umich/mcnugget. Implemented end-to-end RPM data handling from CSV ingestion and processing of voltage/time, to computation of revolutions per second and plotting of voltage over time and RPM over time. All work traced to commit de9d8bf76b25c5abf468aa5f67ac7ffd1093deb4. No major bugs reported this period. Impact: provides a ready-to-use data pipeline and dashboards for RPM monitoring, enabling faster insights and improved data quality checks. Demonstrated skills in Python-based ETL, CSV parsing, time-series analysis, plotting, and strong commit traceability.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month 2024-10: Delivered RPM Data Processing and Visualization feature for masa-umich/mcnugget. Implemented end-to-end RPM data handling from CSV ingestion and processing of voltage/time, to computation of revolutions per second and plotting of voltage over time and RPM over time. All work traced to commit de9d8bf76b25c5abf468aa5f67ac7ffd1093deb4. No major bugs reported this period. Impact: provides a ready-to-use data pipeline and dashboards for RPM monitoring, enabling faster insights and improved data quality checks. Demonstrated skills in Python-based ETL, CSV parsing, time-series analysis, plotting, and strong commit traceability.
Activity
Loading activity data...
Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data ProcessingData VisualizationMatplotlibNumPyPandasPythonSciPy
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline