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scelarek/README.md

BrainStation Data Science Diploma (August 2023)


🌟 Introduction

Hello! I'm Sam Celarek and welcome to my Github! After graduating from the BrainStation Data Science Bootcamp in August 2023, I'm ready for to take a crack at a business problem worthy of the name. The full package is something like insatiable curiosity, a desire to quantify everything, and a wide array of data science tools to tackle almost any problem. Let me know if you are interested in any of my projects or would like to collaborate.


🛠️ Languages and Tools:

R  Bash  Python  Pandas  MySQL  AWS  Apache Spark  Markdown  Jupyter  Kaggle  Anaconda  TensorFlow  PyTorch  VSCode 
  • Programming Languages: Python, R, Bash, SQL
  • Database: MySQL, PostgreSQL
  • Data Analysis Libraries: NumPy, Pandas, SciPy
  • Data Visualization: Tableau, Matplotlib, Plotly, Seaborn
  • Machine Learning: Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, NLTK
  • Time Series Forecasting: pmdarima, Prophet, tbats , timemachines, darts
  • Cloud Computing: AWS, Spark, Hadoop, GCP, Hive, Docker
  • Version Control: GitHub, Git
  • Statistics: Hypothesis Testing, Regression, Classification, Clustering, Time Series Forecasting, Deep Learning

  • COVIDCast: Use Epidemiological and Machine Learning Time Series Models to predict new COVID cases.
  • SideBard for Google: A chatbot that performs query embedded search and helps users navigate new AI Features in the Google Suite.
  • Portfolio: Check out my porfolio website to see even more projects!

🔗 Important Links & Resources

For Private Projects there will only be a brief overview of the projects. Requests for full access can be made though at the bottom of the page linked.

Data Science | Modeling, Natural Language Processing, and Neural Nets

Data Analysis | Wrangling, Cleaning, and EDA

Business Analysis | SQL, Tableau, AWS, and PySpark


References & Guides:

I'm a bit of a template maker! Mostly it is because distilling the general concepts of data science into a clean, uniformally formatted notebook is a very satisfying way of grasping the big picture. Beyond being a fun learning method though, these guides aim to serve a threefold purpose:

  1. Streamline the data science workflow
  2. Quickly compare and contrast central ML concepts
  3. Help my budding data scientist friends in the BrainStation Bootcamp :)

Happy Data Sciencing!


🔥 My Stats :

GitHub Streak

Top Langs


Connect with me on LinkedIn

Take a look at my Resume and Work History

Pinned Loading

  1. AI_Safety_Discussion AI_Safety_Discussion Public

    A curated list of awesome resources for getting started with AI Safety

    2

  2. Reference_Notebooks Reference_Notebooks Public

    Notebooks that I use as references in my projects

    Jupyter Notebook 4

  3. SideBard-with-Google-Industry-Day SideBard-with-Google-Industry-Day Public

    BrainStation Industry Day

    Jupyter Notebook 3

  4. CovidCast CovidCast Public

    Jupyter Notebook 1