I provide advanced forecasting solutions that transform raw time series data into accurate and actionable insights. My expertise covers both classical statistical methods and modern machine learning approaches, ensuring the best fit for each business scenario.
Using SARIMA, Prophet, and state-of-the-art ML models, I build forecasting pipelines capable of capturing seasonality, trends, and sudden shifts. For more challenging cases, such as **intermittent demand**, I apply specialized techniques like Croston, SBA, and TSB, combined with inventory optimization through Reorder Point (ROP) and Safety Stock (SS) calculations.
What I deliver:
1. Clean and reliable forecasts.
2. Error metrics (RMSE, MAE, sMAPE) for model evaluation.
3. Clear visualizations of trends and seasonality.
4. Actionable recommendations for business decision-making.
Applications include:
- Financial revenue forecasting.
- Demand planning for retail and e-commerce.
- Inventory optimization for low-rotation SKUs.
- Sales trend analysis for corporate planning.
My solutions are designed to support strategic planning, risk management, and operational efficiency. Whether you need financial forecasting, demand forecasting, or time series modeling, I deliver results that reduce uncertainty and maximize business value.