I will do time series forecasting with lstm and transformer models

What I Offer

Unlock the power of your sequential data with high-accuracy time-series forecasting. I specialize in building advanced deep learning models tailored for sales, financial markets, inventory, and operations.

My Technical Approach

• Deep Learning Architectures: Implementation of state-of-the-art models including LSTM, GRU, and Transformer-based networks (like Temporal Fusion Transformers) to capture complex, non-linear patterns.
• Feature Engineering: Rigorous data preprocessing, handling missing values, scaling, and extracting critical temporal features (lags, rolling windows, holiday effects).
• Seasonality & Trend Analysis: Isolating underlying cycles and trends to ensure stable long-term and short-term predictions.
• Hyperparameter Tuning: Automated optimization (Optuna/GridSearch) to squeeze out maximum model performance.
• Rigorous Benchmarking: I validate deep learning gains by benchmarking against classical statistical baselines like ARIMA, SARIMAX, and Facebook Prophet.

Deliverables

You will receive clean, production-ready Python code, comprehensive evaluation metrics ($MAE, RMSE, MAPE$), and clear visualizations.

Lets turn your historical data into future insights.