nominal-io/nominal-client
Jan 2025 – Oct 2025
2 Months active
Languages Used
Python
Technical Skills
Data ProcessingFile HandlingPandasPythonCLI DevelopmentCSV Processing
Charlie Kniffin
PROFILE
Charlie Kniffin
Contributed to the nominal-io/nominal-client repository by developing a command-line interface for processing instrumentation spreadsheets, enabling direct Excel and CSV-based configuration updates. Leveraged Python, Pandas, and Click to validate units against the Nominal system and automate updates to dataset channel descriptions and units, streamlining configuration workflows and improving reproducibility. Additionally, addressed a data integrity issue in TDMS exports by implementing robust parsing and deduplication logic for channel names across groups, ensuring accurate mapping when exporting to pandas DataFrames. This work enhanced the reliability of downstream analytics pipelines and demonstrated disciplined practices in data processing, file handling, and unit validation.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
1,169
Activity Months2
Your Network
44 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for nominal-io/nominal-client: Delivered a new MIS CLI for Instrumentation Spreadsheet Processing that validates units against the Nominal system and processes MIS files to update dataset channel descriptions and units, enabling direct Excel/CSV-based configuration updates. This work improves configuration speed, accuracy, and reproducibility across datasets.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for nominal-io/nominal-client: Delivered a new MIS CLI for Instrumentation Spreadsheet Processing that validates units against the Nominal system and processes MIS files to update dataset channel descriptions and units, enabling direct Excel/CSV-based configuration updates. This work improves configuration speed, accuracy, and reproducibility across datasets.
October 2025
January 2025
1 Commits
Jan 1, 2025January 2025 focused on strengthening data integrity in TDMS exports within nominal-client. Delivered a targeted bug fix to handle duplicated TDMS channel names across groups, preventing data misinterpretation when exporting to pandas.DataFrame. The change, implemented in commit 08529c056454d778f7768296d0ad7874ddbbdee7 with message 'fix: handle duplicated channels in tdms (#164)', improves cross-group data consistency and reliability of analytics pipelines. This work enhances data correctness in downstream workflows and demonstrates solid TDMS parsing, Python data handling, and disciplined commit practices.
January 2025
1 Commits
Jan 1, 2025January 2025 focused on strengthening data integrity in TDMS exports within nominal-client. Delivered a targeted bug fix to handle duplicated TDMS channel names across groups, preventing data misinterpretation when exporting to pandas.DataFrame. The change, implemented in commit 08529c056454d778f7768296d0ad7874ddbbdee7 with message 'fix: handle duplicated channels in tdms (#164)', improves cross-group data consistency and reliability of analytics pipelines. This work enhances data correctness in downstream workflows and demonstrates solid TDMS parsing, Python data handling, and disciplined commit practices.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
CLI DevelopmentCSV ProcessingClickData ProcessingExcel ProcessingFile HandlingPandasPythonUnit Validation
Repositories Contributed To
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