springboardmentor436z/FutureCart--AI-Driven-Demand-Prediction
Dec 2024 – Dec 2024
1 Month active
Languages Used
MarkdownPython
Technical Skills
ARIMAARIMA ModelingARIMAXData AnalysisData ScienceData Visualization
Aravindhan S
PROFILE
Aravindhan S
Aravindhan developed an AI-driven demand forecasting system for FutureCart, focusing on e-commerce inventory optimization. Working in the springboardmentor436z/FutureCart--AI-Driven-Demand-Prediction repository, he implemented ARIMA and SARIMA models in Python, leveraging Optuna for hyperparameter tuning and robust evaluation. His approach included building end-to-end Jupyter notebooks with scenario analyses, forecast dashboards, and clear data visualizations to support stakeholder decision-making. He enhanced documentation and maintained repository hygiene, ensuring reproducibility and collaborative development. The project established a data-driven foundation for proactive demand sensing and pricing strategies, demonstrating depth in time series analysis, machine learning, and project management within a production-oriented workflow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
1
Lines of code
13,581
Activity Months1
Your Network
17 peopleSame Organization
@sonatech.ac.in1
Work History
December 2024
13 Commits • 1 Features
Dec 1, 2024December 2024 highlights: Delivered an AI-driven demand forecasting system for FutureCart leveraging ARIMA/SARIMA models with Optuna-based hyperparameter tuning, robust evaluation, and visualization. Includes end-to-end notebooks, project deliverables, and stakeholder-ready outputs for e-commerce demand forecasting. Documentation and repository hygiene improved to support reproducibility and collaboration. This work provides a data-driven foundation for inventory optimization and pricing decisions, enabling proactive demand sensing and reduced stockouts.
13 Commits • 1 Features
Dec 1, 2024December 2024 highlights: Delivered an AI-driven demand forecasting system for FutureCart leveraging ARIMA/SARIMA models with Optuna-based hyperparameter tuning, robust evaluation, and visualization. Includes end-to-end notebooks, project deliverables, and stakeholder-ready outputs for e-commerce demand forecasting. Documentation and repository hygiene improved to support reproducibility and collaboration. This work provides a data-driven foundation for inventory optimization and pricing decisions, enabling proactive demand sensing and reduced stockouts.
December 2024
Activity
Loading activity data...
Quality Metrics
Correctness72.4%
Maintainability72.4%
Architecture72.4%
Performance72.4%
AI Usage26.2%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
ARIMAARIMA ModelingARIMAXData AnalysisData ScienceData VisualizationDocumentationHyperparameter TuningJupyter NotebookMachine LearningOptunaProject ManagementSARIMATime Series Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline