I deliver high-quality time series analysis and forecasting solutions that help businesses understand trends, predict future outcomes, and make data-driven decisions with confidence.

Whether you need demand forecasting, sales prediction, anomaly detection, financial modeling, sensor data analysis, or capacity planning, I build models tailored to your specific data and business goals. I work with proven methods and tools such as ARIMA, Prophet, LSTM, XGBoost, and Python-based analytics pipelines to ensure accurate and reliable results in real-world conditions.

From the first discussion to final delivery, I handle the complete workflow. This includes data cleaning and preparation, exploratory analysis, feature engineering, model selection and training, performance evaluation, and clear presentation of results. You will receive well-documented code, reproducible notebooks or scripts, and practical recommendations you can directly apply to your operations or product.

What sets my service apart is a strong focus on production-ready quality and fast, reliable delivery. I do not provide one-off experiments that break when new data arrives. Instead, I build stable forecasting systems that can be automated, monitored, and maintained over time.

You can expect clear communication, regular progress updates, and solutions designed around measurable business impact rather than unnecessary complexity.

If you are looking for dependable time series expertise that combines technical depth with speed and reliability, I am ready to help turn your historical data into accurate, actionable forecasts.