I will build time series forecasting models using sarimax, stl, prophet, lstm, xgboost

I am a Data Scientist specializing in time series forecasting for price, demand, supply, and sales prediction. I build forecasting models using historical time series data as well as machine learning models with engineered features and explanatory variables.

I provide end-to-end forecasting solutions, including data preprocessing, feature engineering, model development, optimisation, and forecasting insights.

Time Series Models:

ARIMA, SARIMA, SARIMAX, VAR, VECM, Prophet, STL, MSTL, Exponential Smoothing, Holt-Winters.

Machine Learning Forecasting:

XGBoost, LightGBM, Random Forest, Gradient Boosting, LSTM, Neural Networks, Ridge, Lasso, Elastic Net.

Tools:

Python, Pandas, NumPy, Scikit-learn, Statsmodels, TensorFlow, Jupyter Notebook, VS Code, Amazon Sagemaker, Google Colab.

I focus on robust feature engineering, model validation, and forecasting accuracy to deliver reliable predictions for business decision-making.

Please get in touch with me before placing an order to discuss your dataset and forecasting requirements.