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Erik Hatcher

PROFILE

Erik Hatcher

Developed an end-to-end demonstration notebook for the mongodb-developer/GenAI-Showcase repository, focusing on Reciprocal Rank Fusion (RRF) and Relative Score Fusion (RSF) techniques for ranking data. Leveraged Python, Jupyter Notebooks, and MongoDB to create reproducible workflows that enable data scientists to experiment rapidly and extract actionable insights. Enhanced the demonstration with code refactors for improved readability and performance, integrated updated metadata and cell execution for seamless Google Colab usage, and polished documentation for clarity. Applied pre-commit fixes to maintain code quality and reduce lint errors, ensuring the notebook is both accessible and practical for business-oriented data science tasks.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
1
Lines of code
3,156
Activity Months1

Your Network

31 people

Shared Repositories

31
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Alison Presmanes HillMember
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Work History

November 2025

3 Commits • 1 Features

Nov 1, 2025

November 2025: GenAI-Showcase delivered an end-to-end RRF and RSF notebook demonstration, showcasing practical ranking fusion techniques with MongoDB and Python. The work emphasizes reproducibility and rapid experimentation for data scientists, with a focus on business value through actionable insights and ready-to-run demos.

Activity

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Quality Metrics

Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPythonpython

Technical Skills

Jupyter NotebookJupyter NotebooksMongoDBPythondata analysisdata sciencedocumentationmachine learning

Repositories Contributed To

1 repo

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

mongodb-developer/GenAI-Showcase

Nov 2025 Nov 2025
1 Month active

Languages Used

MarkdownPythonpython

Technical Skills

Jupyter NotebookJupyter NotebooksMongoDBPythondata analysisdata science