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Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Public Sponsor

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Public Sponsor

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adamgulyas/README.md

Hello!  👋

I'm Adam, a Software Engineer at Morningstar in Toronto. Check out my website or LinkedIn to learn more.

Technologies & Tools  🧰

MacOS Linux Bash Git npm Docker iTerm2 VS Code Sketch Figma
Python PostgreSQL Anaconda NumPy Pandas Plotly SciPy Scikit Learn Tensorflow Keras
JavaScript TypeScript Django NodeJS React HTML SASS WebPack
AWS Lambda Amazon EC2 Amazon S3 Digital Ocean cPanel
Solidity Ethereum

Work Experience  👔

Position Company Field Time Period
Senior Software Engineer Morningstar Investment Research 09/2022 — Present
Technology Director G&G Digital Marketing 03/2020 — 02/2022
Technical Product Manager Vicarious Inc. Tech Consulting 06/2019 — 03/2020
Technical Product Manager The Young Astronauts Software Services 02/2015 — 06/2019
Lead Software Engineer The Young Astronauts Software Services 04/2014 — 02/2015
Software Engineer Turnstyle Analytics Consumer Analytics 06/2013 — 04/2014

Education  🎓

Certificate, FinTech
University of Toronto, Toronto, ON

Diploma, Internet Applications & Web Development
Durham College, Oshawa, ON

B.A., Philosophy
University of Guelph, Guelph, ON

Achievements  🏆

  • Clio Gold, Social Media
  • Clio Gold, Music Entertainment
  • Cannes Lion Bronze, Social Media
  • Work featured in Bloomberg, Wall Street Journal, TechCrunch, Wired and Billboard

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  1. backtesting-lab backtesting-lab Public

    A platform that allows users to generate stock trading algorithms with Natural Language Processing, Machine Learning, and technical indicators.

    Jupyter Notebook 4 1

  2. diversifying-with-bitcoin diversifying-with-bitcoin Public

    Data analysis that aims to evaluate Bitcoin as a diversification instrument to a US equity portfolio.

    Jupyter Notebook 3

  3. lstm-rnn-predictions lstm-rnn-predictions Public

    Use an LSTM RNN to predict bitcoin closing prices using historical price data and the Crypto Fear and Greed Index.

    Jupyter Notebook 3

  4. pca-kmeans-crypto-clustering pca-kmeans-crypto-clustering Public

    Applying Partial Component Analysis (PCA) and K-means clustering to a set of tradable cryptocurrencies.

    Jupyter Notebook

  5. btc-eth-sentiment-analysis btc-eth-sentiment-analysis Public

    Applying natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum.

    Jupyter Notebook

  6. currency-price-forecasting currency-price-forecasting Public

    Predict future movements in the value of the Canadian dollar versus the Japanese yen.

    Jupyter Notebook