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Tamara-ESCS

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Tamara-escs

Tamara Aleksanyan contributed to the armstat/sdg-data-armenia repository by delivering targeted enhancements to SDG indicator datasets and improving data processing pipelines. She expanded data models to support finer-grained analytics, adding dimensions such as education level, subject, and age group, and standardized headers for consistent reporting. Using Python and CSV data management, Tamara refactored indicator logic to improve retrieval efficiency and scalability, while also addressing data integrity through critical bug fixes and validation against source records. Her work enabled more accurate, reliable SDG reporting and facilitated demographic segmentation, reflecting a strong focus on analytical depth and robust data governance practices.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

12Total
Bugs
1
Commits
12
Features
6
Lines of code
137
Activity Months3

Work History

November 2025

3 Commits • 1 Features

Nov 1, 2025

November 2025: Delivered a focused feature to enhance SDG data processing and reporting for armstat/sdg-data-armenia. Updated indicator logic for SDG indicators 12-8-1, 13-3-1, and 4-7-1 to improve accuracy and data retrieval efficiency, enabling faster, more reliable SDG reporting and scalable analysis for additional indicators.

September 2025

1 Commits

Sep 1, 2025

September 2025 monthly summary for armstat/sdg-data-armenia. Primary focus was data integrity and accuracy improvements for SDG data files. The month's work centered on a critical bug fix in the Mathematics units data for indicator_4-1-1-e.csv across years 2018, 2019, 2021, and 2023. Changes were prepared for release, validated against source records, and committed to the repository to ensure reliable downstream analytics and dashboards.

November 2024

8 Commits • 5 Features

Nov 1, 2024

November 2024 - Armstat SDG Armenia data repo: Delivered targeted data-model enhancements and dataset expansions to enable finer-grained analytics and broader coverage. Key features delivered span the 4-1 indicators with Education level and Subject granularity, the addition of an Age group dimension for 4-2-2, and the introduction of new 4-5-1 data for education-level completion rate (2016/2018). In addition, header standardization and dataset extension were implemented for long-running indicators 4-b-1 (2013–2022) and 4-c-1 (2019–2023). These changes improve analytical precision, enable demographic segmentation, and support downstream reporting pipelines with consistent headers and metadata.

Activity

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Quality Metrics

Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage25.0%

Skills & Technologies

Programming Languages

CSVPython

Technical Skills

Data ManagementPythondata analysisdata processingreporting

Repositories Contributed To

1 repo

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

armstat/sdg-data-armenia

Nov 2024 Nov 2025
3 Months active

Languages Used

CSVPython

Technical Skills

Data ManagementPythondata analysisdata processingreporting