ResumeRover/Main
Apr 2025 – May 2025
2 Months active
Languages Used
PythonGitJSON
Technical Skills
Data CleaningData PreprocessingData ProcessingJupyter NotebookPandasAPI Development
sehan
PROFILE
Sehan
Over a two-month period, this developer enhanced the ResumeRover/Main repository by building a robust skills extraction and preprocessing pipeline to improve resume parsing and candidate-job matching. Leveraging Python, Pandas, and Jupyter Notebook, they standardized and cleaned skills data, enabling more accurate downstream analytics. They implemented a candidate ranking feature using TF-IDF and cosine similarity, allowing relevance-based candidate selection, and introduced an Azure Functions-based forecasting system with an ARIMA model for predicting job application volumes from MongoDB data. Their work emphasized clean, maintainable code and operational hygiene, laying the groundwork for scalable dashboard visualizations and data-driven HR decision-making.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
662
Activity Months2
Your Network
23 peopleWork History
May 2025
3 Commits • 3 Features
May 1, 2025May 2025 monthly snapshot for ResumeRover/Main: Delivered data-driven hiring features and hygiene improvements, enabling better candidate relevance, forecasting readiness, and cleaner codebase. No major bugs reported this month; focus was on feature delivery, infrastructure scaffolding, and operational hygiene, setting the stage for dashboards and scalable hosting.
3 Commits • 3 Features
May 1, 2025May 2025 monthly snapshot for ResumeRover/Main: Delivered data-driven hiring features and hygiene improvements, enabling better candidate relevance, forecasting readiness, and cleaner codebase. No major bugs reported this month; focus was on feature delivery, infrastructure scaffolding, and operational hygiene, setting the stage for dashboards and scalable hosting.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Focused on building a robust skills data pipeline to enhance resume parsing and candidate matching. Key deliverable: a dedicated skills extraction and preprocessing pipeline for resume data, plus a new skills_required notebook and updates to the existing skills_extraction notebook. This work improves data quality, standardization, and downstream analytics, enabling faster profiling and more accurate skill matching. Repos: ResumeRover/Main.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Focused on building a robust skills data pipeline to enhance resume parsing and candidate matching. Key deliverable: a dedicated skills extraction and preprocessing pipeline for resume data, plus a new skills_required notebook and updates to the existing skills_extraction notebook. This work improves data quality, standardization, and downstream analytics, enabling faster profiling and more accurate skill matching. Repos: ResumeRover/Main.
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.0%
Architecture90.0%
Performance84.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
GitJSONPython
Technical Skills
API DevelopmentARIMAAzure FunctionsCosine SimilarityData CleaningData EngineeringData PreprocessingData ProcessingGitJupyter NotebookMachine LearningMongoDBNatural Language ProcessingPandasTF-IDF
Repositories Contributed To
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