Taught Python, Lua, and Scratch to middle school students,building a strong coding foundation for them.Introduced AI concepts like ML and neural networks along with complex CS topics like binary systems and sorting algorithms, relating them to real-world applications.Created interactive lessons and projects to enhance students' problem-solving and critical thinking.

Met bi-weekly with executives to understand complex analytics requirements and discussed new ways to approach data analysis.Prepped data from stock order CSV files to discover new insights.Created a user-friendly interface using Python to analyze trading strategy impact for easiertrading analysis using the argparse package.Executed a multi-stage project to analyze how long it took orders to process through each gate.Used object-oriented programming to create an automated method for finding the latency oforder execution in order to improve efficiency.Used the matplotlib package to create a color-coded scatter plot detailing the progression of thelatency of orders.

I was selected as an Inspirit AI Leadership Fellow and took part of the AI Ambassador program taught by MIT and Stanford graduates. AI Scholars is a pre-collegiate AI education program. Responsible for increasing AI awareness in my school district. Discussed AI topics to increase enthusiasm amongst students and delivered blogs & presentations.

This program focused on using data to make discoveries in sports. The central purpose of the program focused on fundamentals of statistical thinking, real applications employed by statistics professionals in sports analytics, and coding in the programming language R. We were tasked with making group projects from datasets that we had to find and then use R to compute graphs, models, etc.

A High School Intensive in Artificial Intelligence,developed and taught by Stanford and MIT alumni and graduate students.