

May 2025 monthly summary for OpenITI/FASDH25: Delivered automated data analytics and enhanced rendering capabilities, enabling faster insight extraction, richer visuals, and standardized output reporting. Key outcomes include: 1) Article Analytics Script that computes the longest article title, total length of all articles, exports top 20 longest articles to CSV, and filters first-half 2023 articles to a separate CSV. 2) Rendering Engine: Advanced Shader Suite with GLSL-based improvements for lines, symbols, terrain, and raster data, including refactoring and expansion to support advanced rendering features. 3) N-gram Analysis Visualization Tool that analyzes n-gram data and visualizes counts for terms 'peace', 'agreement', and 'truce' over months with a line plot. 4) Bug fix: Output filename naming polish to reflect the author's name for better traceability.
May 2025 monthly summary for OpenITI/FASDH25: Delivered automated data analytics and enhanced rendering capabilities, enabling faster insight extraction, richer visuals, and standardized output reporting. Key outcomes include: 1) Article Analytics Script that computes the longest article title, total length of all articles, exports top 20 longest articles to CSV, and filters first-half 2023 articles to a separate CSV. 2) Rendering Engine: Advanced Shader Suite with GLSL-based improvements for lines, symbols, terrain, and raster data, including refactoring and expansion to support advanced rendering features. 3) N-gram Analysis Visualization Tool that analyzes n-gram data and visualizes counts for terms 'peace', 'agreement', and 'truce' over months with a line plot. 4) Bug fix: Output filename naming polish to reflect the author's name for better traceability.
April 2025 (OpenITI/FASDH25) — concise monthly summary focusing on business value and technical achievements. Key features delivered: - Article Text Analysis Toolkit: Implemented two Python scripts for Al Jazeera article analysis. (1) Updated pattern-counting script to count occurrences of predefined patterns and aggregate results; (2) New script reads place names from a TSV and counts their occurrences across articles, producing a concise summary. Commit: 53cabf30a02377b9ccc013f765b50cb75af34fcc. - Geospatial Visualization for Article Locations: Python script to create geospatial maps with Plotly Express and Pandas; loads coordinate data from a TSV and visualizes it as a scatter map with location names shown on hover. Commit: 17be41b24c897a0e1cfebf96eca29f4a5722d93c. Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Delivered end-to-end analytics capabilities for article data in OpenITI/FASDH25, enabling quantitative pattern analysis and geographic insights. - Provided reproducible inputs via TSV files, facilitating extension to additional datasets and future sprints. - Strengthened data storytelling through interactive geographic visualizations that highlight geographic distribution of articles. Technologies/skills demonstrated: - Python scripting, Pandas for data processing - Text pattern analysis and pattern counting - TSV file handling for input data - Geospatial visualization with Plotly Express - Basic geospatial mapping with hover-based interactivity - Version control discipline and clear commit messages Business value: - Accelerated extraction of signals from news data and enhanced reporting capabilities, enabling data-driven decision making and better communication with stakeholders.
April 2025 (OpenITI/FASDH25) — concise monthly summary focusing on business value and technical achievements. Key features delivered: - Article Text Analysis Toolkit: Implemented two Python scripts for Al Jazeera article analysis. (1) Updated pattern-counting script to count occurrences of predefined patterns and aggregate results; (2) New script reads place names from a TSV and counts their occurrences across articles, producing a concise summary. Commit: 53cabf30a02377b9ccc013f765b50cb75af34fcc. - Geospatial Visualization for Article Locations: Python script to create geospatial maps with Plotly Express and Pandas; loads coordinate data from a TSV and visualizes it as a scatter map with location names shown on hover. Commit: 17be41b24c897a0e1cfebf96eca29f4a5722d93c. Major bugs fixed: - None reported this month. Overall impact and accomplishments: - Delivered end-to-end analytics capabilities for article data in OpenITI/FASDH25, enabling quantitative pattern analysis and geographic insights. - Provided reproducible inputs via TSV files, facilitating extension to additional datasets and future sprints. - Strengthened data storytelling through interactive geographic visualizations that highlight geographic distribution of articles. Technologies/skills demonstrated: - Python scripting, Pandas for data processing - Text pattern analysis and pattern counting - TSV file handling for input data - Geospatial visualization with Plotly Express - Basic geospatial mapping with hover-based interactivity - Version control discipline and clear commit messages Business value: - Accelerated extraction of signals from news data and enhanced reporting capabilities, enabling data-driven decision making and better communication with stakeholders.
March 2025 performance summary for OpenITI/FASDH25 focused on content curation and tooling to advance publication readiness and corpus-scale analytics. Delivered detailed text curation for Sara_7589_bald_and_bold and related texts, and built corpus-wide text processing utilities to enable batch analytics across the collection. The work emphasizes data quality, reproducibility, and business value by accelerating publication readiness and enabling scalable insights from the corpus.
March 2025 performance summary for OpenITI/FASDH25 focused on content curation and tooling to advance publication readiness and corpus-scale analytics. Delivered detailed text curation for Sara_7589_bald_and_bold and related texts, and built corpus-wide text processing utilities to enable batch analytics across the collection. The work emphasizes data quality, reproducibility, and business value by accelerating publication readiness and enabling scalable insights from the corpus.
Overview of all repositories you've contributed to across your timeline