kane@server:~$
Hello, I'm Kane Norman, a dedicated full-stack engineer with a strong focus on data and machine learning. My passion lies in crafting innovative solutions that harness the power of data to drive real-world impact.
My skill sets are deeply anchored in Python, databases, and machine learning, forming a strong foundation for my expertise. I possesss a unique blend of data science, data engineering, and software engineering excellence. What distinguishes me is my capacity to align technical skills with business goals.
Through the transformative power of data, I enable organizations to utilize their data resources more efficiently, facilitating strategic decision-making and promoting business expansion while driving real-world impact.
This project uses NLP to summarize and analyze sentiments about the 2024 presidential election media coverage. The website uses D3.js to make highly custom data visualizations. It's received praise from Dr. Hanspeter Pfister and is featured in the Harvard University CS 171 Hall of Fame.
Experience real-time streaming of Boston's public transit data, highlighting cutting-edge data engineering frameworks for seamless real-time data flow.
This repository offers a practical implementation of automatic differentiation using dual numbers, simplifying the process of obtaining accurate derivatives. It's a valuable resource for understanding gradient-based optimization algorithms.
