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bjhammack/README.md

Hi, I'm Ben

👨‍💻 Who am I?

I am a Lead Data Scientist at Nielsen. I have a Master of Science in Data Science (concentrating in Bioinformatics) and a Bachelor of Science in Computer Science. I am a Data Scientist with experience in data wrangling, cleaning, modeling, analysis, visualization, and machine learning. I am Software Developer with experience in fullstack development, database development, web development, cloud technologies, and ETL processes.

bjhammack

🔭 Technology Stack

                                                                       

🤝 Collaborations?

Interested in collaborating? I'd love to work on a variety of projects with you! My main focuses right now are general machine learning, reinforcement learning, and genetic algorithms, but I'm open to working on anything that interests us both.

📫 Reach out to me on

         

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  1. masters-thesis-alzheimers-detection masters-thesis-alzheimers-detection Public

    My masters thesis where I built a model pipeline using a CNN, SVM, and a custom SMOTE oversampling technique to identify and classify Alzheimer's in brain CT scans.

    Jupyter Notebook 5 1

  2. audio-MNIST-deep-learning audio-MNIST-deep-learning Public

    Using the audio MNIST dataset, deep learning is performed to accurately identify numbers being spoken.

    Jupyter Notebook 1

  3. intracranial-hemorrhage-detection intracranial-hemorrhage-detection Public

    Jupyter notebook to analyize, transform, and predict intracranial hemorrhaging from CT scan images using a neural network.

    Jupyter Notebook 5

  4. cartpole-genetic-ai cartpole-genetic-ai Public

    Using OpenAI's gym environment, I create a basic genetic reinforcement learning model that solves the CartPole-v0 problem with ease.

    Python 1

  5. from-scratch-logistic-regression from-scratch-logistic-regression Public

    A fully-functioning logistic regression model using only python and numpy.

    Python 1

  6. predict-at-bat-outcome predict-at-bat-outcome Public

    A neural network designed to predict the outcome of baseball at bats.

    Jupyter Notebook 1