I will forecast sales and demand using python time series

Struggling to predict demand accurately across multiple products or locations?

I help businesses forecast sales and demand using Python-based time series models so you can plan inventory and operations with greater confidence instead of guesswork.

What I offer: Data cleaning and exploratory analysis; time series diagnostics and stationarity testing; forecasting with SARIMAX, LightGBM and seasonal models; backtesting and model validation; forecast accuracy metrics such as MAPE; confidence intervals where appropriate; multi-series forecasting across products, stores or regions; clear business-ready reports and dashboards.

Why work with me?

In a recent project, I built a demand forecasting pipeline covering 3,000+ store-department pairs, achieving a 12.6% median MAPE. With a statistics background, I validate assumptions rigorously, compare appropriate approaches, and report honestly including what didn't work.

Tools: Python (statsmodels, LightGBM, pmdarima), SQL and Streamlit.

Let's talk before you order: Send me a brief description of your data, time period, number of series and forecasting goal. I'll review the scope and suggest an appropriate approach.