I will do time series analysis, forecasting and modeling

Time Series Analysis Expertise

Time series analysis involves examining a sequence of data points over time to uncover patterns, trends, and seasonality. This predictive approach is applied across finance, stock markets, healthcare, economics, and more. For complex datasets with multiple variables, multivariate time series methods are also available.

Capabilities Offered

Baseline Models

• Trend Analysis: Detecting upward/downward movements.
• Seasonal Decomposition: Identifying and isolating seasonality.
• Autocorrelation: Understanding relationships between lags.
• ARIMA/SARIMA Models: Time-series forecasting with seasonality and trends.
• Smoothing Techniques: Reducing noise for clearer patterns.

Advanced Models

• Neural Models: NBeats, DeepAR, Transformer, RNN, LSTM
• Statistical Models: Facebook Prophet, Exponential Smoothing, Kalman Forecaster
• Hybrid Models: BATS, TBATS, FFT, LightGBM, XGB, NHITS, NLinear

Evaluation Metrics

• Mean Absolute Error (MAE)
• Mean Absolute Percentage Error (MAPE)
• Mean Square Error (MSE)
• Scaled Mean Absolute Error (sMAE)

Share your problem statement, and Ill tailor a solution leveraging cutting-edge models and methods to meet your specific