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• Utilized Python libraries such as Pandas to clean and prepare the data set for analysis, ensuring data quality and integrity.

• Leveraged Jupyter Notebook with Python to perform data analysis tasks, including exploratory data analysis (EDA), statistical analysis, and predictive modeling.

• Leveraged Power BI to design and develop professional and insightful dashboards for the analysis of airlines, suppliers, and sales data.