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jordanehli/README.md

Howdy 🤠

Welcome to my GitHub profile! I'm currently pursuing a Masters in Business Analytics from the McCombs School of Business at the University of Texas at Austin 🤘. I do not come from a traditional background for a data scientist, but I have always been interested in quantitative subjects. Through work experiences, I discovered a love for programming and diving deeper into the different facets of analysis. On my profile, you'll find a mix of school projects as well as personal projects I've undergone out of curiosity or to build out my skillset. Feel free to reach out if you have any questions, comments, or suggestions!

🧪 Topics Explored: Unstructured Data, Image Classification, Portfolio Optimization, Statistical Arbitrage, and many more!
🖋️ Wrote Medium Article on Driver Drowsiness Facial Image Analysis: utilizes various CNN architectures to create a model that detects when a driver closes their eyes for an extended period of time.
📔 Interesting Things I've Read Recently:

Reach out: LinkedIn

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  1. Football-Press-Conference-Emotional-Speech-Analysis Football-Press-Conference-Emotional-Speech-Analysis Public

    Trains a neural net on 5 emotions displayed by Ole Miss football coach Lane Kiffin. Predicted emotions are then tested against other machine learning models to see if there is any correlation with …

    Jupyter Notebook 1

  2. Eyes-Open-Closed-Image-Classification Eyes-Open-Closed-Image-Classification Public

    AML Final Project where I used CNNS to perform binary image classification on images of people driving.

    Jupyter Notebook 1

  3. JE_Advent_of_Code2023 JE_Advent_of_Code2023 Public

    My solutions for the Advent of Code 2023 challenges. Definitely expanded my skillset and learned lots of new programming tricks from this experience!

    Jupyter Notebook

  4. Stock-Portfolio-Optimization Stock-Portfolio-Optimization Public

    Utilizes Gurobi to create a portfolio that tracks the performance of the S&P 500

    Jupyter Notebook 1

  5. Beer-Recommender-System Beer-Recommender-System Public

    Built web scrape for beer reviews and ran sentiment analysis as well as cosine similarity to build a recommender system based on user inputs.

    Jupyter Notebook 1

  6. Weighted-R-D-Backtest Weighted-R-D-Backtest Public

    This notebook builds upon the previous R&D backtest by using a weighted average sorting variable for R&D. The sorting variable weights by market capitalization and historically using a moving avera…

    Jupyter Notebook 1