Inventory Forecasting

Based on historical data, we have developed an end-to-end inventory forecasting solution to predict stock levels for 10 products.

• Cleaned, aggregated, and processed large datasets, implementing efficient data pipelines following industry best practices.

• Utilized time series forecasting techniques, including RandomForestRegressor, for batch forecasting models.

• Built interactive dashboards for stakeholders to track and visualize forecasting results, improving stockdecision-making.

• Managing and versioning data using cloud technologies such as AWS S3 and GCP, ensuring scalability and reliability.

• Collaborated and maintained code versioning through Git and GitHub.