I built a natural gas price estimator in Python for the JPMorgan Chase Quantitative Research Forage simulation. Loaded and parsed historical monthly price data, I visualized the time series to identify seasonal trends (winter peaks, summer dips), and I built a function that uses linear interpolation for historical dates and linear regression forecasting for future dates.