I will build machine learning models and predictive analytics solutions in python

I am a Data Scientist specialised in machine learning and time series forecasting for price, demand, and supply prediction. I build predictive models using both historical time series data and regression models based on explanatory variables that influence the target variable.

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

Forecasting & Time Series Models:

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

Machine Learning Algorithms:

Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost, Support Vector Machines, Ridge, Lasso, Elastic Net, Decision Trees, Neural Networks, and LSTM.

Tools & Platforms:

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

I focus on robust feature engineering, model validation, and performance optimisation to deliver reliable forecasting models for business and analytics applications.

Please contact me before placing an order so we can discuss your project requirements and ensure the best solution.