
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.
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.
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 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.
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 - 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.
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.

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