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I'm a Full-Stack Developer with a drive for building end-to-end solutions. Specializing in both front and backend technologies, I aim to deliver seamless and efficient digital experiences.

🔍 Explore my repositories to see how I solve complex challenges with modern innovation.

💡 I'm dedicated to creating impactful solutions that make a difference in the tech landscape.

💼 Current Role: Senior Manager of Technology and Business Development

Email: [email protected]

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About
The SLP Private Practice Analysis tool is a powerful application designed to streamline the collection, transformation, and analysis of data from Speech-Language Pathology (SLP) private practices. By automating the process of scraping relevant websites for data, transforming this data for clarity and usability, and then visualizing it in Power BI, this tool provides invaluable insights into the operational and clinical aspects of SLP private practices. Our aim is to empower practitioners, administrators, and researchers with the data they need to make informed decisions, enhance service delivery, and ultimately improve client outcomes.

Target Audience This project is tailored for a wide range of stakeholders within the Speech-Language Pathology field, including:

• SLP Professionals and Clinicians: Who seek to understand better and improve their practice's operational efficiency and clinical outcomes.
• SLP Researchers: Interested in analyzing trends, patterns, and benchmarks in private practice settings.
• Healthcare Administrators: Looking for data-driven insights to optimize the management and operational aspects of SLP private practices.
• SLP Students and Educators: Who can use the insights generated from the analysis for educational purposes or to inform their studies and future practice.

By providing a tool that simplifies the process of data collection, transformation, and analysis, we aim to make data-driven insights more accessible to all levels of interest and expertise within the SLP community.

Live Dashboard Here

About

• A cyclist blindspot detection tool that allows a cyclist to be aware of vehicles approaching them from the rear
• Runs through the Raspberry Pi 4 and uses the TFLite BBD100K model for detection

Target

• Computer Vision/Machine Learning/Python/TensorFlow/Pi4

Full writeup on the project Here

Tools + Languages

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