EXCEEDS logo
Exceeds
Sangeeta Bhatia

PROFILE

Sangeeta Bhatia

Sangeeta Bhatia developed a feature for the UCL/TLOmodel repository that ensures demographic visualizations display age groups in a consistent, predefined order. She addressed the challenge of unreliable age-group ordering by sorting population data before plotting and reindexing the 'num_by_age' variable to match established categories. Using Python and leveraging her skills in data analysis and data visualization, Sangeeta’s work improved the accuracy and repeatability of demographic plots. This enhancement supports more reliable reporting and downstream analytics, as visual outputs now consistently reflect the intended age-group structure. The depth of her contribution lies in its impact on data integrity and usability.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
2
Activity Months1

Your Network

3 people

Work History

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 monthly work summary for UCL/TLOmodel: Delivered a feature ensuring consistent age-group ordering in demographic visualizations by sorting population data by age-group before plotting and reindexing 'num_by_age' to align with predefined age group categories. Commit cb6cd8e7f1a5f860ebee795c72fb0a093a1489a5 ('Sort population by age-group before plotting', #1532). This change improves accuracy, repeatability, and trust in demographic visuals, supporting more reliable reporting and decision-making.

Activity

Loading activity data...

Quality Metrics

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

Skills & Technologies

Programming Languages

Python

Technical Skills

Data AnalysisData Visualization

Repositories Contributed To

1 repo

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

UCL/TLOmodel

Dec 2024 Dec 2024
1 Month active

Languages Used

Python

Technical Skills

Data AnalysisData Visualization