Predicting Market Movement Using Machine Learning
In this article I use K-Nearest Neighbors on historic stock data to predict market trends
The George Washington University
Bachelor of Science in Mechancial Engineering
post-baccalaureate certificate in Data Science
I received a Bachelor of Science in mechanical engineering from The George Washington University in May of 2019. Through Mechanical engineering I learned important skills in critical thinking, problem solving and math. I was also able to take part in many interesting projects including building a hovercraft, building a silicone 3D printer, and designing electric car heating systems using python. While studying mechanical engineering I discovered a passion for coding. My love for analytics drove me to obtain a certificate in data science from NYC Data Science Academy in 2020. I have completed many data science related projects, obtained 1st place in PNC Code Fest and I love to volunteer. Several of my projects are included below, as well as my contact information and links to my LinkedIn, Github and Medium page.
Recent Work
Consumer Behavior Insights for Instacart
In this project I worked with a team to increase customer purchase frequency for an online grocer to drive profit
Accurately Predicting House Prices in Ames, Iowa
In this project I worked within a team to accurately predict housing prices using multiple linear regression stacked with elastic net and XGBoost
The Virtual Library, an R Shiny Applicaton
In this project I used NLP on book descriptions to identify similar books and suggest reading material to users
Texas Hold'em Simulator
In this project I built out a class to run texas holdem simulations and run thousands of simulations to identify probabilities, it also includes an interactive dashboard
Web Scraping OpenTable
In this project I scraped OpenTable to identify potential restaurant locations
Contact Me
please feel free to reach out via email or phone