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seansteel3/README.md

HELLO!

My name is Sean Steele, and I am an aspiring researcher with interests in immunology, genetics, bioinformatics, and statistics. I am particularly intrigued by the intersection of statistical modeling and biology, but I am also fascinated by the power of data analytics to shed light onto virtually any field.

After graduating from Emory University in 2020, I worked at RayBiotech Life as a lead Research Technician. There I applied my statistical modeling skills directly into our workflow, overhauling our immuno-PCR development process. More recently I have pivoted my career path to focus more on data analytics, visualzations, and machine learning. I am currently working as a Data Science Analyst at Softcrylic, where I am focused on ETL engineering and data visualization, as well as developing machine learning solutions.

Outside of my professional life I also enjoy investigating a myriad of questions with data analytics, including macro-economic trends surrounding oil prices, general stock market dynamics, and COVID-19 population infection dynamics. A sample of these side projects, as well as my open source professional projects are pinned below!

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  1. ML_trader ML_trader Public

    An upgrade to the original random trader analysis, now including ML models.

    Python 1

  2. ImmunoHatch ImmunoHatch Public

    Immuno-PCR Optimization Algorithm

  3. Oil-and-Gas Oil-and-Gas Public

    Can classical and modern regression analysis reveal what the major drivers of global oil and gasoline prices are?

    Python

  4. random_trader random_trader Public

    Does wallstreet really do better than a small scale "investor" investing completely at random?

    Python

  5. Volatility_Analysis Volatility_Analysis Public

    A series of sequential logistic regressions assessing if volatility can predict future upward or downward trends in stock price.