CONFIDENTIAL PROJECT

Developed an online SaaS tool that provides local businesses with scraped employee and contact information from various online sources, including Google Maps, company websites, social media platforms, and LinkedIn.

Leveraged Python to build the project and used natural language processing techniques to sort and categorize data, resulting in more accurate and efficient data analysis.

Designed the backend using Flask server with WSGI and integrated it with NextJS 13 for the frontend, creating a seamless user experience for customers.

Created an API that can produce complete business results in under 10 seconds, providing users with quick and reliable access to the data they need.

Implemented robust data validation and error handling processes, ensuring data accuracy and minimizing errors during the scraping process.

Conducted extensive testing and debugging to ensure that the system is running optimally and that data is being scraped accurately and efficiently.

Developed a scalable and modular architecture that allows for future updates and additions to the system, providing customers with an even more comprehensive data analysis tool.

Integrated Stripe to handle subscriptions, allowing users to easily sign up for and manage their accounts.

Provided excellent customer support, addressing issues and concerns in a timely and efficient manner, resulting in high customer satisfaction and retention rates.