oracle-samples/oci-data-science-ai-samples
Feb 2025 – Feb 2025
1 Month active
Languages Used
JSONMarkdownPythonSQLShell
Technical Skills
Cloud ComputingConfiguration ManagementData EngineeringData ScienceDatabase IntegrationDatabase Management
Shadab Mohammad
PROFILE
Shadab Mohammad
Shadab Mohammad developed an end-to-end XGBoost machine learning workflow for the oracle-samples/oci-data-science-ai-samples repository, enabling data scientists to train and deploy models on OCI MySQL Heatwave directly from a Jupyter notebook. He organized and renamed the notebook for improved discoverability, updated documentation including the README and index.json, and applied a targeted fix to ensure reliable MySQL connection handling and data loading. Using Python, SQL, and cloud computing skills, Shadab enhanced the repository’s maintainability and usability for machine learning workflows on Oracle Cloud Infrastructure, delivering a well-structured, production-ready asset that streamlines onboarding and asset management for data science teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
662
Activity Months1
Your Network
670 people
Work History
February 2025
7 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for the oracle-samples/oci-data-science-ai-samples repo: Delivered an end-to-end XGBoost notebook workflow for OCI MySQL Heatwave, enabling training and deployment from a Jupyter notebook. Improved asset organization and documentation to boost discoverability and onboarding for data scientists. Implemented a minor fix to ensure correct MySQL connection usage and data loading steps, increasing reliability of the Heatwave ML workflow.
7 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for the oracle-samples/oci-data-science-ai-samples repo: Delivered an end-to-end XGBoost notebook workflow for OCI MySQL Heatwave, enabling training and deployment from a Jupyter notebook. Improved asset organization and documentation to boost discoverability and onboarding for data scientists. Implemented a minor fix to ensure correct MySQL connection usage and data loading steps, increasing reliability of the Heatwave ML workflow.
February 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPythonSQLShell
Technical Skills
Cloud ComputingConfiguration ManagementData EngineeringData ScienceDatabase IntegrationDatabase ManagementDocumentationJupyter NotebookMachine LearningMySQL HeatwaveOCIXGBoost
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