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Manuel Alcalá Kovalski

PROFILE

Manuel Alcalá Kovalski

Malka L. Alcálkovalski developed and maintained data pipelines and analytics infrastructure for the UI-Research/mobility-from-poverty repository, focusing on county- and place-level social mobility metrics. She engineered robust ETL workflows and implemented data validation, cleaning, and backfilling routines using R, Python, and SQL, ensuring reliable integration of Census and geospatial data. Her work included optimizing API usage, standardizing data storage, and enhancing test coverage to improve reproducibility and data governance. By refining documentation and automating data quality checks, Malka enabled more accurate trend analysis and reporting, demonstrating depth in data engineering, statistical modeling, and repository management throughout the project.

Overall Statistics

Feature vs Bugs

68%Features

Repository Contributions

102Total
Bugs
16
Commits
102
Features
34
Lines of code
2,905,062
Activity Months5

Work History

March 2025

15 Commits • 4 Features

Mar 1, 2025

March 2025 monthly summary: Delivered key data quality enhancements and a unified mobility metrics dataset, expanded place-level evaluation capabilities, and strengthened maintainability across the repository. Key features delivered include geographic data and housing value data quality improvements (adding the 2014 geographic crosswalk, updating final data files, and clarifying metric definitions) and a comprehensive mobility metrics pipeline covering multiple years and locations with loading, cleaning, and aggregation refinements. Major bugs fixed include removal of redundant data filling in the housing value export and ensuring race/ethnicity ratio values are NA when the corresponding quality metric is NA. These efforts increased data reliability, reduced preprocessing complexity, and enabled more accurate place- and county-level analyses. Technologies/skills demonstrated include R scripting, data pipeline orchestration, dataset integration, UI theming with Bootstrap, and repository maintainability practices.

February 2025

57 Commits • 20 Features

Feb 1, 2025

February 2025 performance summary for UI-Research/mobility-from-poverty. Focused on delivering reliable data pipelines, robust tests, and maintainable code structure. Highlights include: 1) City-level metric tests pass with new expectations files; 2) API/data fetch optimization to query only when local data is unavailable and per-year local files; 3) Data processing updates including 2014 population usage and final data rewrite with outputs organized by year; 4) Codebase organization and refactors (rename sa to associations, move expectations to 10a folder, ensure data dir exists); 5) Testing and documentation enhancements (additional tests for year presence, new test data, crosswalk/documentation clarifications). Major bugs fixed include: missing argument to function; geography reference switched from place to tract; data output conditional on file existence; cleanup of outdated files and comments; stop message text adjustments. Overall impact: improved reliability, faster data workflows, better data integrity, and clearer documentation. Technologies/skills demonstrated: Python scripting, data wrangling, API usage optimization, test-driven development, refactoring, and documentation best practices.

January 2025

14 Commits • 5 Features

Jan 1, 2025

January 2025 monthly summary for UI-Research/mobility-from-poverty focusing on data infrastructure, validation, and geographic granularity enhancements to drive better outcomes analytics and program targeting.

December 2024

10 Commits • 3 Features

Dec 1, 2024

December 2024 focused on expanding data completeness and stabilizing analytics for the Mobility from Poverty project. Key features delivered include backfill and visualization updates for the Social Capital Places metric, expansion of county-level metric data for 2014–2020 with final data-path adjustments, and a centralized internal tooling enhancement to unify missing-data handling via naniar. A bug fix corrected as.numeric handling in tests and final data evaluation, and documentation updates accompanied these changes. All work improved data reliability, reproducibility, and business insight generation, with tests passing and clearer data lineage.

November 2024

6 Commits • 2 Features

Nov 1, 2024

November 2024 (UI-Research/mobility-from-poverty): Delivered targeted housekeeping, data storage standardization, and test alignment to support clearer documentation, robust data governance, and more reproducible analytics for county social association data.

Activity

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Quality Metrics

Correctness91.2%
Maintainability91.2%
Architecture88.0%
Performance87.2%
AI Usage20.4%

Skills & Technologies

Programming Languages

CSSCSVMarkdownPythonQuartoRR MarkdownSQLStatacsv

Technical Skills

API IntegrationCSV ManipulationCensus APICensus DataCode FormattingCode RefactoringData AnalysisData Analysis ExplanationData CachingData CleaningData CollectionData EngineeringData EntryData Entry FormsData Export

Repositories Contributed To

1 repo

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

UI-Research/mobility-from-poverty

Nov 2024 Mar 2025
5 Months active

Languages Used

QuartoRR MarkdownCSVMarkdownSQLcsvCSS

Technical Skills

Code FormattingCode RefactoringData AnalysisData CleaningData ProcessingData Validation