springboardmentor436z/FutureCart--AI-Driven-Demand-Prediction
Dec 2024 – Dec 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data PreprocessingFeature EngineeringFile ManagementForecastingMatplotlibModel Evaluation
Uppunuthala Abhilash
PROFILE
Uppunuthala Abhilash
During December 2024, Abhilash contributed to the FutureCart--AI-Driven-Demand-Prediction repository by developing a SARIMAX-based forecasting system for inventory planning. He implemented time series models in Python and Jupyter Notebook, incorporating data preprocessing, feature engineering, and exogenous variable support to generate accurate demand predictions. His work included rigorous model evaluation using MAE, RMSE, MAPE, and R-squared metrics, as well as hyperparameter tuning and visualization with Matplotlib. Abhilash also improved asset management by organizing project files and media, and enhanced documentation by correcting branding inconsistencies. The work demonstrated depth in time series analysis and practical alignment with business objectives.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
3
Lines of code
60,052
Activity Months1
Your Network
16 peopleWork History
December 2024
15 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for springboardmentor436z/FutureCart--AI-Driven-Demand-Prediction. This period delivered a data-driven forecasting capability for inventory planning, improved asset governance, and branding accuracy across the project. The work emphasizes business value through accurate demand signals, organized assets, and clear documentation, aligning technical effort with product goals.
15 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for springboardmentor436z/FutureCart--AI-Driven-Demand-Prediction. This period delivered a data-driven forecasting capability for inventory planning, improved asset governance, and branding accuracy across the project. The work emphasizes business value through accurate demand signals, organized assets, and clear documentation, aligning technical effort with product goals.
December 2024
Activity
Loading activity data...
Quality Metrics
Correctness97.4%
Maintainability97.4%
Architecture97.4%
Performance97.4%
AI Usage25.4%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data PreprocessingFeature EngineeringFile ManagementForecastingMatplotlibModel EvaluationPandasSARIMAXScikit-learnTime Series Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline