Objective

Automated Job Application Tracking System using Python and various APIs, reducing data entry by 95% and improving tracking efficiency.

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Challenge

Developing the Job Application Tracking System was a journey through data management and automation. The goal was to automate the organization of job applications and reduce manual data entry. Leveraging Python and various APIs, I crafted a system that scraped emails, parsed HTML, and post-processed data, which was not only a fun exploration into automation but also a valuable tool in managing job applications. The challenge lay in accurately extracting and categorizing data from various email formats, which was a puzzle in itself. If done again, I’d explore more scalable and robust data storage solutions.

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