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Category: Data Science

SOAP: Social Polling Platform

Posted on May 4, 2025May 21, 2025 by Blake

Constructive political criticism online is hard to find. Discussions quickly turn mean, and even minor disagreements can escalate into major arguments. Messages often get lost if one’s audience is too small, and misunderstood words can lead to backlash. That’s where Soap comes in—a new kind of social platform designed to change the way we talk…

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Based News Reader

Posted on April 19, 2025May 22, 2025 by Blake

This Python project fetches the latest Google News RSS headlines for a user-supplied list of topics and regularly updates a static HTML page. It uses Google Gemini to prioritize headlines and also to update a global outlook section biweekly. Designed to be scheduled with cron on any Unix-based system. news.blakerayvid.com How It Works

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TQQQ Trading Algorithm

Posted on August 21, 2024May 11, 2025 by Blake

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…

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Sentiment Classifier

Posted on July 12, 2024May 21, 2025 by Blake

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. View…

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Covid Report NYC

Posted on May 15, 2020May 11, 2025 by Blake

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

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Epidemic Simulator

Posted on April 19, 2020May 11, 2025 by Blake

This Colab notebook 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…

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D3 Desmos Dotenv JavaScript LLMs MATLAB Matplotlib Netlify NLTK Node NumPy Pandas PostgreSQL Python QuantConnect Scikit-Learn SciPy Streamlit Vader

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