• Developed a data visualization project using Python to analyze job application trends, providing actionable insights.
• Converted raw data from a pickle file into structured CSV format, leveraging object-oriented programming.
• Utilized pandas library for data manipulation and Matplotlib/Seaborn libraries for creating insightful visualizations, highlighting key metrics such as application volume, job types, and temporal trends.