Sales Forecasting Model Development

I need a machine learning engineer to build a sales forecasting model using historical sales data from multiple retail stores. The model should be deployed in a Streamlit web app.

Key requirements:
- Users can select a store and view:
- Historical sales data
- Forecasted sales for upcoming weeks
- Option to download predictions
- Time series techniques should be used (LightGBM, XGBoost, or Prophet)
- Basic EDA, feature engineering, and model evaluation required
- Final app must be intuitive, responsive, and user-friendly

Deliverables:
- Streamlit code
- Trained model
- Brief documentation

Ideal Skills and Experience:
- Expertise in machine learning and time series forecasting
- Proficiency in Python and Streamlit
- Experience with data visualization and web app development
- Strong background in EDA and model evaluation