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.