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
Developed an end-to-end XGBoost machine learning workflow within the oracle-samples/oci-data-science-ai-samples repository, enabling users to train and deploy models on OCI MySQL Heatwave directly from a Jupyter notebook. Leveraged Python and SQL to integrate data loading, model training, and deployment steps, while ensuring reliable MySQL connection handling. Enhanced the repository’s structure by reorganizing and renaming the notebook for improved discoverability, and updated documentation in Markdown to streamline onboarding for data scientists. Focused on maintainability and clarity, the work addressed both technical integration and user experience, supporting robust machine learning workflows on Oracle Cloud Infrastructure using modern data science tools.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
662
Activity Months1
Your Network
815 peopleSame Organization
@oracle.com783
Aaron YoungMember
Carlos-CA-AlvarezMember
Dyre TjeldvollMember
grungtaMember
Kaiyuan LiMember
KarthikMember
Liam R. HowlettMember
Liam R. HowlettMember
Martin BalinMember
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
Repositories Contributed To
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