- Conducted Exploratory Data Analysis (EDA) on large datasets to identify trends, patterns, and anomalies, providing a foundation for further analysis and modeling.- Utilized Python libraries such as Pandas, Matplotlib, and Seaborn to visualize data distributions and relationships, enhancing understanding of data characteristics.- Developed insights that guided decision-making processes and informed project direction.- Collaborated with cross-functional teams to communicate findings and suggest data-driven solutions based on EDA results.