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Achievement: Pull Shark

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Frank-Howd/README.md

Hi there 👋

I'm a passionate Business Analyst with a data science background, and a flare for predictive modeling, hailing from Connecticut.

  • 🌱 I’m currently learning Plotly and Fast API.

  • 💬 Ask me about inference through visualizations, machine learning, data cleaning and feature engineering, and integrated financial statement modeling.

  • 📫 How to reach me [email protected]

  • 📝 I regularly write articles on https://frank-howd.medium.com/

  • 📄 Know about my experiences https://www.linkedin.com/in/frank-howd/

  • ⚡ Fun fact I am an avid mountain biker and love to snowboard!

Languages and Tools:

python scikit_learn sqlite postgresql

Pinned Loading

  1. sp500-predictions-app sp500-predictions-app Public

    This project focuses on data visualizations, as well as linear regression modeling for SP500 price predictions

    Jupyter Notebook

  2. Spotify-Song-Recommender-DS24 Spotify-Song-Recommender-DS24 Public

    Spotify Song Recommender app accepts a song title and artist name, and returns 10 songs with similar characteristics. API queries, K-NN

    Jupyter Notebook

  3. Build-Week-Kickstart/two-page-kickstarter Build-Week-Kickstart/two-page-kickstarter Public

    The Kickstarter-Success-Predictor application deploys data science to indicate the likelihood of success for proposed Kickstarter campaigns.

    Python 1

  4. financial-adages financial-adages Public

    An Examination of Some Financial Adages - visual exploration and correlation examination

    Jupyter Notebook

  5. human-rights-first-asylum-ds-a human-rights-first-asylum-ds-a Public

    Forked from BloomTech-Labs/human-rights-first-asylum-ds-a

    Jupyter Notebook 1