Developing a successful trading algorithm is about finding the right balance between capturing market gains and managing risks. In this capstone project for the Flatiron School Data Science Bootcamp, I created and refined a QuantConnect trading algorithm that combines a dynamic strategy for SPY with a risk-managed approach for TQQQ. The goal was to optimize…
Category: Data Science
Tweet Sentiment Classifier
https://github.com/brayvid/tweet-sentiment-classifier My Flatiron School Data Science Bootcamp Phase 3 Project was to address the business problem of brand reputation management by monitoring and analyzing Twitter sentiment. The goal was to develop a machine learning model that can correctly classify tweets as positive, negative, or neutral, and provide insights to improve brand perception and engagement strategies….
Space Debris Exploration
This is an exploratory data analysis of a Kaggle dataset made as part of the Flatiron School Data Science Bootcamp. The slides from an associated presentation I gave are available here. https://github.com/brayvid/space-debris-eda
Covid Report App
View the latest Covid-19 case, hospitalization, and death trends for New York City in a simple web interface. https://covidreportnyc.netlify.app View on GitHub
Epidemic Simulator
Simulates a disease spreading through a community in random motion. Individuals are represented as points undergoing independent random walks in a bounded 2D environment. Parameters include: the population size, the average population density, the number of times to evolve the system, the number of trials to conduct, and the fraction of the available space that…