I will do time series forecasting using r, python, excel, eviews

I provide professional time series data analysis and forecasting for business, industrial, and research projects using R, Python, Excel, and EViews. My expertise includes statistical, ML, and deep learning models for accurate forecasting and decision-making.

Services include:

• Application of ARIMA, SARIMA, ARIMAX, VAR, VECM, ARCH, GARCH, and Exponential Smoothing (Holt-Winters).
• ML models such as XGBoost, CatBoost, etc.
• Deep learning models; LSTM, Bidirectional LSTM, GRU, CNN-LSTM, and hybrid CNN-RNN frameworks for non-linear data.
• Data preparation, stationarity testing (ADF, KPSS), differencing, detrending, and decomposition to address trend and seasonality.
• Model selection using ACF/PACF and Box-Jenkins methodology.
• Performance evaluation with AIC, BIC, RMSE, and MAE metrics for model validation.
• Visualization of forecasts, residual diagnostics, and comparison plots for interpretation.

I can assist with sales forecasting, demand estimation, financial prediction, or production planning--providing reliable, well-documented, and business-focused results.