ASU-ASCEND/Spring-2025
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++
Technical Skills
C++Data PackagingData SerializationDocumentationEmbedded SystemsSensor Integration
Nedu Robert
PROFILE
Nedu Robert
Developed an end-to-end sensor data capture and processing pipeline for the ASU-ASCEND/Spring-2025 repository, focusing on the LSM9DS1 sensor. The work involved integrating accelerometer, gyroscope, and magnetometer readings, applying per-axis calibration offsets, and serializing the results into a unified 9-float CSV format using C++. By replacing the previous GPS-data handling with this streamlined approach, the developer simplified the telemetry pipeline and improved data quality for analytics. The implementation demonstrated skills in embedded systems, data packaging, and documentation, with careful version control throughout. This solution supports faster iteration on analytics features and reduces overall pipeline complexity.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
243
Activity Months1
Your Network
6 peopleShared Repositories
6
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 — ASU-ASCEND/Spring-2025: Delivered end-to-end LSM9DS1 sensor data capture with per-axis calibration, packing into a data packet, and decoding to a 9-float CSV representation. Replaced GPS-data handling with this streamlined sensor CSV format to simplify telemetry and analytics. The work strengthens data quality, reduces pipeline complexity, and supports faster iteration on analytics features.
3 Commits • 1 Features
Feb 1, 2025February 2025 — ASU-ASCEND/Spring-2025: Delivered end-to-end LSM9DS1 sensor data capture with per-axis calibration, packing into a data packet, and decoding to a 9-float CSV representation. Replaced GPS-data handling with this streamlined sensor CSV format to simplify telemetry and analytics. The work strengthens data quality, reduces pipeline complexity, and supports faster iteration on analytics features.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++Data PackagingData SerializationDocumentationEmbedded SystemsSensor Integration
Repositories Contributed To
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