During my internship at Flow Global Software Technologies, I played a key role in designing a scalable and normalized database structure for Flow Nebula. By leading the development of an Entity-Relationship (ER) diagram, I ensured the database architecture was optimized for future growth and efficiency.

I also built an organic LinkedIn scraper using Beautiful Soup, Regex, Python, and PostgreSQL, mimicking user behavior to extract essential business data from 10,000+ profiles. This significantly improved lead generation capabilities by automating the process of gathering high-quality data for sales and marketing teams.

To enhance search engine visibility, I developed a custom Python web crawler that dynamically updated the sitemap on Google Search Console, ensuring new pages were indexed efficiently. This, combined with strategic SEO improvements, led to a 74% increase in organic traffic and higher search rankings.

Throughout the internship, I maintained thorough documentation in Confluence and managed tasks efficiently using Jira, ensuring smooth collaboration within the team. My contributions not only optimized database and search processes but also played a crucial role in streamlining data acquisition and improving overall project efficiency.