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πŸ’« About Me:

As a Microsoft ADC Student League member, I worked with a team of talented software engineers to develop CassavaMax. This high-performance application leveraged machine learning and computer vision to improve cassava farming in Africa. I utilized the NestJS framework, Docker containers, and Azure Web Services to ensure an efficient and maintainable codebase, streamlined development workflows, and reliable application delivery.

Additionally, I served as a campus ambassador for Cowrywise, a digital platform that provides financial education and wealth management services. In this role, I learned the core elements of financial literacy in today's digital world.

During my bachelor's degree in computer science at the Federal University of Technology Akure, I achieved recognition on the Dean's List multiple times for my academic excellence. I also completed a data science fast-track program at Utiva and a full stack developer nano degree at Udacity, where I gained proficiency in Typescript, Javascript, Python, MySQL, PostgreSQL, Numpy, Pandas, Scikit-learn, and TensorFlow.

My primary drive has always been to build solutions that become relevant and indispensable in everyday life while making processes easier to execute. I am particularly interested in building artificial intelligence-enabled solutions.

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πŸ’» Tech Stack:

HTML5 JavaScript Markdown Python TypeScript Render Anaconda JWT Nodemon NodeJS NestJS MongoDB MySQL Postgres NumPy Pandas Plotly scikit-learn TensorFlow Matplotlib

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David-Daniel Ojebiyi's Projects

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