

May 2025 (OpenITI/FASDH25) delivered a multi-faceted analytics and visualization suite with concrete business value and improved data-driven decision support. No major defects were reported; the emphasis was on feature delivery, code quality, and reproducible reporting. Key outcomes include: 1) Geospatial Data Visualization — an interactive browser-based scatter map built with Plotly Express and Pandas reading TSV data, enabling location-aware insights for content strategy and distribution. 2) Article Data Analytics Dashboard — a comprehensive analytics suite featuring a histogram of article lengths, identification of the longest article, total word/character length, export of the top 20 longest articles, creation of a standardized date column, and filtering/export for early-2023 content; improved reporting fidelity with CSV renaming reflecting current user/task. 3) N-gram Trend Analysis — term-specific counts over time visualized monthly to surface evolving topics and trends. 4) TF-IDF Graph and Topic Visualization — generation of edges/nodes from a TF-IDF CSV, CSV export outputs, and a Plotly-based bar snippet highlighting top topics by article count over years. 5) Mahpara Karim Content Updates — added HTML content for Mahpara Karim, including short articles and top-5 evolutions content. Overall impact: Accelerated data-driven content decisions, streamlined analytics and export workflows, and delivered user-facing visual dashboards that translate data into actionable insights. Demonstrated capabilities across data wrangling, visualization, NLP preprocessing (N-grams, TF-IDF), and web-friendly outputs, reinforcing repeatable pipelines for stakeholder reporting.
May 2025 (OpenITI/FASDH25) delivered a multi-faceted analytics and visualization suite with concrete business value and improved data-driven decision support. No major defects were reported; the emphasis was on feature delivery, code quality, and reproducible reporting. Key outcomes include: 1) Geospatial Data Visualization — an interactive browser-based scatter map built with Plotly Express and Pandas reading TSV data, enabling location-aware insights for content strategy and distribution. 2) Article Data Analytics Dashboard — a comprehensive analytics suite featuring a histogram of article lengths, identification of the longest article, total word/character length, export of the top 20 longest articles, creation of a standardized date column, and filtering/export for early-2023 content; improved reporting fidelity with CSV renaming reflecting current user/task. 3) N-gram Trend Analysis — term-specific counts over time visualized monthly to surface evolving topics and trends. 4) TF-IDF Graph and Topic Visualization — generation of edges/nodes from a TF-IDF CSV, CSV export outputs, and a Plotly-based bar snippet highlighting top topics by article count over years. 5) Mahpara Karim Content Updates — added HTML content for Mahpara Karim, including short articles and top-5 evolutions content. Overall impact: Accelerated data-driven content decisions, streamlined analytics and export workflows, and delivered user-facing visual dashboards that translate data into actionable insights. Demonstrated capabilities across data wrangling, visualization, NLP preprocessing (N-grams, TF-IDF), and web-friendly outputs, reinforcing repeatable pipelines for stakeholder reporting.
April 2025: Delivered a targeted feature in OpenITI/FASDH25 to enhance corpus analytics and resource accessibility. Key feature: Geopolitical Term Frequency Analysis for the Al Jazeera article collection, enabling precise counting of geopolitical terms across the corpus to support trend analysis and risk assessment. A new PDF resource related to an examination schedule was added to improve scheduling workflows and documentation. No major bugs fixed this month; minor issues were reviewed and resolved to maintain feature stability. Overall impact: improved analytical capability for geopolitical discourse, stronger data governance, and prepared groundwork for deeper analytics in the next cycle. Technologies and skills demonstrated: natural language processing concepts for term-frequency analysis, corpus processing, data handling, and disciplined version control.
April 2025: Delivered a targeted feature in OpenITI/FASDH25 to enhance corpus analytics and resource accessibility. Key feature: Geopolitical Term Frequency Analysis for the Al Jazeera article collection, enabling precise counting of geopolitical terms across the corpus to support trend analysis and risk assessment. A new PDF resource related to an examination schedule was added to improve scheduling workflows and documentation. No major bugs fixed this month; minor issues were reviewed and resolved to maintain feature stability. Overall impact: improved analytical capability for geopolitical discourse, stronger data governance, and prepared groundwork for deeper analytics in the next cycle. Technologies and skills demonstrated: natural language processing concepts for term-frequency analysis, corpus processing, data handling, and disciplined version control.
For OpenITI/FASDH25 in March 2025, delivered targeted improvements to document quality, content tooling, and test scaffolding, focusing on business value, readability, and research support. The month emphasized content curation, lightweight analytics tooling, and reproducible testing to accelerate content ingestion and insights.
For OpenITI/FASDH25 in March 2025, delivered targeted improvements to document quality, content tooling, and test scaffolding, focusing on business value, readability, and research support. The month emphasized content curation, lightweight analytics tooling, and reproducible testing to accelerate content ingestion and insights.
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