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smquadrat/README.md

As a data-driven product manager and hobbyist developer I specialize in building tools that generate valuable insights from raw data. I enjoy using Python libraries such as sklearn to build ML models and Flask to deploy lean prototypes. My past projects include estimating options market maker positioning and assessing the impact of Federal Reserve money supply expansion and contraction on equity markets. My professional experience includes product work at Dropbox and a fintech startup.

  • 🌍  I'm based in San Francisco
  • 🖥️  See my portfolio at my website
  • ✉️  You can contact me at smquadrat@gmail.com
  • 🤝  I'm open to collaborating on interesting data-related conundrums
  • ⚡  Fun fact: I worked in Japanese equity markets for 4 years in Tokyo

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  1. earnings-call-sentiment-app earnings-call-sentiment-app Public

    Earnings call sentiment analysis tool based on the VADER model

    Python 1 1

  2. oil-price-predictor-lstm-model-app oil-price-predictor-lstm-model-app Public

    Oil price prediction tool based on LSTM RNN model in PyTorch

    Python 3

  3. japanese-text-computer-vision-app japanese-text-computer-vision-app Public

    Tool which preprocesses image, identifies Japanese text (kanji, hiragana and katakana) using OCR and translates output into English

    Python 1

  4. la-metro-live-map-app la-metro-live-map-app Public

    Real-time visual representation of train positions across the LA metro system

    JavaScript

  5. weather-app weather-app Public

    Weather forecast Flask app which includes temperature, precipitation and UV index data

    HTML

  6. nikkei-japanese-vocab-app nikkei-japanese-vocab-app Public

    Nikkei newspaper Japanese vocabulary training app

    HTML