EXCEEDS logo
Exceeds
Teodor Heggelund

PROFILE

Teodor Heggelund

Teodor contributed to the scicloj/noj repository by provisioning new datasets and improving documentation reliability. He added BicycleWeather.csv and Fremont_Bridge_Bicycle_Counter.csv, enabling data-driven modeling and laying the foundation for linear regression analysis. Using skills in data analysis, data engineering, and documentation, Teodor ensured that the datasets were accessible and suitable for repeatable experiments. He also addressed a documentation issue by correcting a duplicated URL in the linear regression introduction notebook, improving reference accuracy. Working primarily with CSV and Clojure, his efforts enhanced the quality and usability of training data, supporting faster experimentation and more reliable analytical workflows within the project.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
108,012
Activity Months1

Work History

December 2024

2 Commits • 1 Features

Dec 1, 2024

Monthly summary for 2024-12: Focused on data provisioning and quality improvements for scicloj/noj to accelerate data-driven modeling and ensure reliable notebook references. Key dataset additions lay the groundwork for linear regression analysis, while a targeted link fix improves documentation reliability. The work enhances business value by enabling faster experiments, repeatable analyses, and higher-quality training data access.

Activity

Loading activity data...

Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSVClojure

Technical Skills

Data AnalysisData EngineeringDocumentationLink Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

scicloj/noj

Dec 2024 Dec 2024
1 Month active

Languages Used

CSVClojure

Technical Skills

Data AnalysisData EngineeringDocumentationLink Management

Generated by Exceeds AIThis report is designed for sharing and indexing