
Ashna Siddhi engineered and maintained a broad suite of global indicator datasets in the wri-scl-data-public repository, focusing on data quality, schema standardization, and analytics readiness. Over 11 months, Ashna delivered new CSV-based data assets, expanded regional and temporal coverage, and consolidated legacy files to streamline reporting. Using skills in data engineering, data cleaning, and spreadsheet management, Ashna implemented batch data transformations, rigorous version control, and normalization techniques to ensure traceability and reproducibility. The work addressed data integrity regressions, improved forecasting reliability, and enabled more robust cross-regional analytics, reflecting a deep, methodical approach to large-scale data curation and governance.

September 2025 (2025-09) monthly summary for wri/wri-scl-data-public: Focused on expanding global data assets and strengthening data quality to support analytics and governance. Delivered a major feature set that adds new and expanded datasets, standardizes terminology, and corrects annual values. This work broadens analytics coverage, enhances data integrity, and improves consistency across global datasets, enabling more reliable cross-regional insights and reporting. Achieved rigorous versioning and traceability across commits.
September 2025 (2025-09) monthly summary for wri/wri-scl-data-public: Focused on expanding global data assets and strengthening data quality to support analytics and governance. Delivered a major feature set that adds new and expanded datasets, standardizes terminology, and corrects annual values. This work broadens analytics coverage, enhances data integrity, and improves consistency across global datasets, enabling more reliable cross-regional insights and reporting. Achieved rigorous versioning and traceability across commits.
Summary for 2025-08: Delivered a substantial expansion of energy indicators data in wri/wri-scl-data-public, adding new PWR family datasets and FW-81, broadening indicators and regional coverage. Implemented creation of several CSV datasets (e.g., PWR-75.csv, PWR-79.csv, PWR-85.csv, FW-81.csv) and introduced new PWR indicators and indicator shifts to support deeper analytics. Updated related indicators and support files (X-LND-34.csv, OC-83, PWR-61, LND-37) to maintain consistency across the dataset. Conducted data quality fixes and normalization (scaling PWR-114, correcting FW-10 values for 2024, simplifying LND-110 structure) to improve accuracy and reliability. These improvements enhance data completeness, readiness for BI/analytics, and reduce downstream manual curation. Technologies demonstrated: batch CSV generation, data normalization, indicator-driven data modeling, and version-control-driven iterating on indicators.
Summary for 2025-08: Delivered a substantial expansion of energy indicators data in wri/wri-scl-data-public, adding new PWR family datasets and FW-81, broadening indicators and regional coverage. Implemented creation of several CSV datasets (e.g., PWR-75.csv, PWR-79.csv, PWR-85.csv, FW-81.csv) and introduced new PWR indicators and indicator shifts to support deeper analytics. Updated related indicators and support files (X-LND-34.csv, OC-83, PWR-61, LND-37) to maintain consistency across the dataset. Conducted data quality fixes and normalization (scaling PWR-114, correcting FW-10 values for 2024, simplifying LND-110 structure) to improve accuracy and reliability. These improvements enhance data completeness, readiness for BI/analytics, and reduce downstream manual curation. Technologies demonstrated: batch CSV generation, data normalization, indicator-driven data modeling, and version-control-driven iterating on indicators.
July 2025 summary of wri-scl-data-public: Delivered a comprehensive expansion and hardening of datasets across LND, FW, X-LND, and PWR. Implemented substantial data quality improvements, expanded regional and yearly coverage, and enhanced data granularity and disaggregation to support robust analysis and planning. The work underpins more accurate reporting, external data requests, and long-term projections.
July 2025 summary of wri-scl-data-public: Delivered a comprehensive expansion and hardening of datasets across LND, FW, X-LND, and PWR. Implemented substantial data quality improvements, expanded regional and yearly coverage, and enhanced data granularity and disaggregation to support robust analysis and planning. The work underpins more accurate reporting, external data requests, and long-term projections.
June 2025 monthly summary for wri-scl-data-public focused on delivering end-to-end data products, expanding regional indicators, and enforcing data governance across datasets. Key features include the FW-117 global time-series indicators with projections/benchmarks and an updated 2029 projection for WLD, expansion of regional indicators and metals data assets (IN-90, IN-84, TRNS-49), and data cleanup/standardization (removal of disagg column in X-LND-122, renaming X-LND-127 to LND-127, corrections to FW-57 geographic codes). FW-87 water indicators were consolidated into aggregated global values. All changes are committed across multiple CSV artifacts and prepared for deployment. This work strengthens forecasting reliability, regional coverage, and data quality for policy analysis and reporting.
June 2025 monthly summary for wri-scl-data-public focused on delivering end-to-end data products, expanding regional indicators, and enforcing data governance across datasets. Key features include the FW-117 global time-series indicators with projections/benchmarks and an updated 2029 projection for WLD, expansion of regional indicators and metals data assets (IN-90, IN-84, TRNS-49), and data cleanup/standardization (removal of disagg column in X-LND-122, renaming X-LND-127 to LND-127, corrections to FW-57 geographic codes). FW-87 water indicators were consolidated into aggregated global values. All changes are committed across multiple CSV artifacts and prepared for deployment. This work strengthens forecasting reliability, regional coverage, and data quality for policy analysis and reporting.
May 2025: Focused on data health and reporting readiness for wri-scl-data-public. Completed: (1) data cleanup and deprecation of legacy datasets, standardizing historical data and removing obsolete X-FA files and 1990s entries; (2) updates to FA-19 and FA-53 with corrected 2017 data, 2024 additions, removal of P-FA-19.csv and enriched FA-53 values; (3) broad dataset corrections and enrichment across multiple files (including FA-76) to improve accuracy and coverage; (4) creation of FW-125.csv for water resources with historical data and projections; (5) updates to FA-70, FA-79, and FA-80 to correct 2023 ESP data and extend year/category coverage. These actions reduce data debt, improve reporting fidelity, and enable more reliable downstream analytics and planning.
May 2025: Focused on data health and reporting readiness for wri-scl-data-public. Completed: (1) data cleanup and deprecation of legacy datasets, standardizing historical data and removing obsolete X-FA files and 1990s entries; (2) updates to FA-19 and FA-53 with corrected 2017 data, 2024 additions, removal of P-FA-19.csv and enriched FA-53 values; (3) broad dataset corrections and enrichment across multiple files (including FA-76) to improve accuracy and coverage; (4) creation of FW-125.csv for water resources with historical data and projections; (5) updates to FA-70, FA-79, and FA-80 to correct 2023 ESP data and extend year/category coverage. These actions reduce data debt, improve reporting fidelity, and enable more reliable downstream analytics and planning.
April 2025: Delivered consolidated and refreshed datasets across FW, NE, FA/P-FA, and energy domains in wri/wri-scl-data-public. Key outcomes include unifying the data model by migrating FW data (FW-75.csv) and removing obsolete X-FW-74.csv; refreshing NE data (NE-50.csv; NE-3.csv; NE-30.csv) with 2023–2024 values; updating FA/P-FA 2024 data (including FA-74 expansion and corrections to FA-3.csv); expanding PWR-20 energy data and resolving merge conflicts in TRNS-32.csv. These changes improve data quality, consistency, and analytics readiness, enabling more accurate forecasting and governance with clear audit trails.
April 2025: Delivered consolidated and refreshed datasets across FW, NE, FA/P-FA, and energy domains in wri/wri-scl-data-public. Key outcomes include unifying the data model by migrating FW data (FW-75.csv) and removing obsolete X-FW-74.csv; refreshing NE data (NE-50.csv; NE-3.csv; NE-30.csv) with 2023–2024 values; updating FA/P-FA 2024 data (including FA-74 expansion and corrections to FA-3.csv); expanding PWR-20 energy data and resolving merge conflicts in TRNS-32.csv. These changes improve data quality, consistency, and analytics readiness, enabling more accurate forecasting and governance with clear audit trails.
March 2025 performance summary for wri-scl-data-public: Delivered expansion of FW indicator datasets and forecasting data integration to support global development indicators and forecasting workflows. Implemented data collection and ingestion for FW shifts 3, 4, and 6, and added FW indicators FW-47, FW-48, FW-50, FW-52, FW-53, and FW-85. Performed data correction and cleanup in FW datasets, including removal of obsolete file X-OC-97.csv, to ensure accuracy and reliability. This work enhances indicator coverage, improves forecasting reliability, and strengthens data governance for downstream analytics.
March 2025 performance summary for wri-scl-data-public: Delivered expansion of FW indicator datasets and forecasting data integration to support global development indicators and forecasting workflows. Implemented data collection and ingestion for FW shifts 3, 4, and 6, and added FW indicators FW-47, FW-48, FW-50, FW-52, FW-53, and FW-85. Performed data correction and cleanup in FW datasets, including removal of obsolete file X-OC-97.csv, to ensure accuracy and reliability. This work enhances indicator coverage, improves forecasting reliability, and strengthens data governance for downstream analytics.
February 2025 — wri-scl-data-public: Delivered key data updates across FA, LND, and OC datasets with schema evolution, expanded coverage, and data quality improvements. Results include improved accuracy, broader country-year coverage, and cleaned obsolete datasets, enabling reliable analytics and forecasting for downstream teams.
February 2025 — wri-scl-data-public: Delivered key data updates across FA, LND, and OC datasets with schema evolution, expanded coverage, and data quality improvements. Results include improved accuracy, broader country-year coverage, and cleaned obsolete datasets, enabling reliable analytics and forecasting for downstream teams.
In January 2025, the wri-scl-data-public repository focused on expanding data coverage, standardizing schemas, and correcting historical values for more reliable cross-dataset analytics. Delivered capabilities span ocean and freshwater indicators, land disaggregation enhancements, and expanded LND datasets, driving improved completeness, data quality, and consistency across years and regions. The work lays a stronger foundation for reporting, dashboards, and decision-making relying on harmonized global indicators.
In January 2025, the wri-scl-data-public repository focused on expanding data coverage, standardizing schemas, and correcting historical values for more reliable cross-dataset analytics. Delivered capabilities span ocean and freshwater indicators, land disaggregation enhancements, and expanded LND datasets, driving improved completeness, data quality, and consistency across years and regions. The work lays a stronger foundation for reporting, dashboards, and decision-making relying on harmonized global indicators.
December 2024 monthly summary for wri/wri-scl-data-public focused on delivering higher-quality, globally-relevant data assets. Implemented 2024-focused datasets, realigned poverty data to a World (WLD) aggregate, stabilized indicator formatting, corrected critical data entries, and refreshed ocean datasets with restructuring. These changes enable more accurate analytics, simpler global-level reporting, and improved data governance across key datasets.
December 2024 monthly summary for wri/wri-scl-data-public focused on delivering higher-quality, globally-relevant data assets. Implemented 2024-focused datasets, realigned poverty data to a World (WLD) aggregate, stabilized indicator formatting, corrected critical data entries, and refreshed ocean datasets with restructuring. These changes enable more accurate analytics, simpler global-level reporting, and improved data governance across key datasets.
November 2024 monthly summary: Restored data integrity for FIN/X-FIN CSVs and expanded transportation statistics coverage in wri-scl-data-public, delivering a stable data structure for downstream analytics and enabling richer scenario planning.
November 2024 monthly summary: Restored data integrity for FIN/X-FIN CSVs and expanded transportation statistics coverage in wri-scl-data-public, delivering a stable data structure for downstream analytics and enabling richer scenario planning.
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