• Experienced in delivering actionable insights using machine learning techniques, including clustering, classification, regression, and dimensionality reduction, to solve complex transportation problems.• Skilled in data preprocessing, feature engineering, and model optimization to develop data-driven solutions for travel demand modeling, travel behavior analysis, and traffic forecasting.• Expertise in Geographic Information Systems (GIS) for conducting spatial analysis related to transportation networks, accessibility, and route optimization.• Proficient in using graphical design tools like Adobe Photoshop and Illustrator, as well as data visualization platforms such as Tableau, Power BI, Python (Matplotlib, Seaborn), and R (ggplot2, plotly) libraries to create visual presentations and enhance data representations.• Demonstrated dedication and a collaborative team spirit with a creative approach to problem-solving, gained through extensive experience working effectively in diverse team environments.