Mohammad Shirdel

I help companies turn complex data into reliable forecasts, predictive models, and clear insights that support better decisions.

My work focuses on machine learning, time-series analysis, statistical modeling, and predictive analytics. I support projects involving model development and validation, feature engineering, data analysis, performance evaluation, and the improvement of existing machine-learning workflows.

What distinguishes my approach is the combination of strong technical expertise and rigorous analytical thinking. With a PhD in Computer Science and postdoctoral research experience, I am comfortable working with complex datasets, uncertainty, and technically demanding problems. I focus on practical outcomes: solutions that are carefully validated, reproducible, understandable, and useful to the client.

I work mainly with Python and the standard data-science ecosystem, including pandas, NumPy, scikit-learn, and SQL. I communicate clearly, document my work carefully, and explain results in a way that both technical and non-technical stakeholders can use.

I am available for remote projects in machine learning, time-series forecasting, statistical analysis, predictive modeling, and data-driven consulting.