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Blake Rayvid

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Tag: Pandas

Dataset manipulation used in projects like space debris analysis and stock performance comparisons.

Compare Stock Returns

Posted on June 1, 2025May 11, 2026 by Blake

This page lets you enter multiple stock tickers (eg. AAPL, MSFT, GOOGL) and even custom portfolio expressions (eg. 0.5*NVDA, 0.25*AMZN, 0.25*KO) and compare their performance against a benchmark (eg. SPY) over any time period. It’s built with Python and Flask on the backend. Data comes from Yahoo Finance via the yfinance library, pandas crunches the…

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SOAP: A New Polling Platform

Posted on May 4, 2025May 12, 2026 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 inβ€”a new kind of social platform designed to change the way we talk…

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Sentiment Classifier

Posted on July 12, 2024May 12, 2026 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. πŸ”—…

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Space Debris Exploration

Posted on June 1, 2024May 12, 2026 by Blake

This is an exploratory data analysis (EDA) of a Kaggle dataset I made as part of the Flatiron School Data Science Bootcamp. The slides from an associated presentation are available here. πŸ”— View on GitHub

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Skyrim Alchemy Optimizer

Posted on December 1, 2022May 12, 2026 by Blake

This Jupyter notebook can be used to maximize alchemy profitability using the ingredients you have on hand in The Elder Scrolls V: Skyrim. It uses integer linear programming from scipy.optimize.milp to determine which potions to make, and in what quantities, to maximize total value. It needs a csv file of the ingredients you have with…

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Efficient Portfolio

Posted on December 7, 2020May 12, 2026 by Blake

This is a Python implementation of Robert C. Merton’s efficient or minimum-variance portfolio algorithm from the paper An Analytic Derivation of the Efficient Portfolio Frontier (1972). Building on the work of Harry Markowitz, Merton describes a way to assign weights to a list of securities to make a portfolio that has the lowest variance in…

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D3.js Desmos Docker Express.js FFmpeg Flask Gemini API Google Maps API HTML/CSS/JS MATLAB Matplotlib Netlify NetworkX Next.js NLP Node.js NumPy P5.js Pandas Pillow PostgreSQL Python QuantConnect Railway React.js Scikit-Learn SciPy TensorFlow Tesseract OCR WeasyPrint YFinance API

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