Naaji

Tutoring Experience

As a Neuroscience major at Princeton with minors in Computer Science and Statistics & Machine Learning, I've melded advanced machine learning with neurological insights. At Amazon Lab126, I enhanced clustering algorithms, and at Princeton's Computational Memory Lab, I developed novel DNN architectures. My skills span Java, Python, and Scala, with extensive use of PyTorch and Scikit-Learn.

My experiences range from improving machine learning models to conducting cancer research and mentoring economically challenged students through my co-founded organization, Inzime Education. I'm eager to share my knowledge and passion for neuroscience and computer science to inspire and guide your learning journey. Let's explore these exciting fields together!

Tutoring Approach

In my tutoring sessions, I emphasize a personalized, interactive learning environment that adapts to each student's needs and goals. Combining deep theoretical knowledge with practical applications, I use real-world examples from my industry and research experiences to make complex topics in neuroscience, computer science, and machine learning accessible and engaging.

I start by assessing students' understanding to tailor sessions effectively, incorporating hands-on projects and problem-solving to solidify concepts. My approach not only covers academic learning but also fosters curiosity and innovation, preparing students to tackle real-world challenges confidently.