fullstackatbrown/project-bop
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSVJavaScript
Technical Skills
CSV ParsingChart.jsData VisualizationFront End DevelopmentFrontend DevelopmentReact
Khoi Le
PROFILE
Khoi Le
Leckhoi contributed to the fullstackatbrown/project-bop repository by developing features that enhanced poll reporting and analytics workflows. Over two months, Leckhoi built a one-click PDF export for poll reports and introduced CSV-driven data visualizations, leveraging React, JavaScript, and Chart.js to enable dynamic, question-based charts. They refactored the visualization logic to decouple data parsing from rendering, establishing a scalable pattern for future integrations. Additionally, Leckhoi implemented robust CSV parsing utilities using Node.js and file I/O, supporting structured poll statistics extraction and streamlined analytics pipelines. The work demonstrated thoughtful engineering depth, focusing on maintainable code and scalable data processing for business insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
1,194
Activity Months2
Your Network
10 people
Work History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) summary for fullstackatbrown/project-bop: Delivered a robust CSV poll data parsing capability and file-based ingestion, enabling reliable extraction of structured poll statistics and downstream analytics. Implemented parsePollCSV to convert CSV data into structured poll results with header handling, per-question aggregation, quoted values, and option counting; extended parsePollCSVFromFile to read from a file path using fs while preserving the output structure. These changes streamline the poll analytics pipeline, reduce manual data wrangling, and accelerate data-driven decisions. No major bugs were reported this month. Technologies demonstrated include JavaScript/Node.js, fs, CSV parsing, and data transformation; impact includes improved data quality and scalability of poll analytics.
2 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) summary for fullstackatbrown/project-bop: Delivered a robust CSV poll data parsing capability and file-based ingestion, enabling reliable extraction of structured poll statistics and downstream analytics. Implemented parsePollCSV to convert CSV data into structured poll results with header handling, per-question aggregation, quoted values, and option counting; extended parsePollCSVFromFile to read from a file path using fs while preserving the output structure. These changes streamline the poll analytics pipeline, reduce manual data wrangling, and accelerate data-driven decisions. No major bugs were reported this month. Technologies demonstrated include JavaScript/Node.js, fs, CSV parsing, and data transformation; impact includes improved data quality and scalability of poll analytics.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for the project-bop repository (fullstackatbrown/project-bop). Delivered two user-facing features enabling richer poll reporting and data-driven visualizations, with a focus on business value and scalable data workflows. No major bugs documented for this period based on the provided data.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for the project-bop repository (fullstackatbrown/project-bop). Delivered two user-facing features enabling richer poll reporting and data-driven visualizations, with a focus on business value and scalable data workflows. No major bugs documented for this period based on the provided data.
Activity
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Quality Metrics
Correctness92.6%
Maintainability87.6%
Architecture82.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJavaScript
Technical Skills
CSV ParsingChart.jsData ProcessingData VisualizationFile I/OFront End DevelopmentFrontend DevelopmentJavaScriptNode.jsReact
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