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.

                           

• 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!

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.

• COVIDCast
• SideBard
• Kickstarter Fundraising Prediction
• West Nile Virus Modeling
• Hotel Reviews Sentiment Prediction

• COVIDCast
• Twitters Favorite Dog Breed
• Global vs City Temperatures
• Eternal Growth, Immortal Inequality
• Kickstarter Data Wrangling
• West Nile Virus Analysis
• NLP of Hotel Reviews

• Kickstarter SQL Queries
• BIXI SQL Queries
• Google Engrams with AWS

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!

• Useful Templates and ML Reference Guides