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Hi there, I'm Jeff (aka Spags) 👋

I'm a Data Scientist, Machine Learning Engineer, and certified AI Architect with a prior background in marketing, brand activation, and producing live events. I'm originally from new Jersey (Jersey Shore represent!) and currently based in the Orladndo area. After years of being on stage as a touring musician and then several more years erecting stages as a producer of live events, this lifelong data geek decided to make a full career pivot into Data Science in order to fulfill a deep desire to bring my creativity, endless determination, and unique background to the technology world.

After witnessing first-hand the impact that data has had in many areas of the entertainment industry, I wanted to join in on the fun and be part of the exciting, burgeoning worlds of machine learning and deep learning. With the pandemic putting much of my "old life" on hold, I enrolled in the Flatiron School to build my skills in Python, Pandas, SQL, scikit-learn, Tensorflow/Keras, data analytics & visualization and many others. I'm "deeply" (pun intended) interested in building neural networks, image recognition systems, text/speech generation, and AI systems.

⚡ Skills:

Python Development, Machine Learning, Deep Learning Data Analysis, AWS, Data Visualization, Computer Vision, Natural Language Processing (NLP), SQL queries, Tabeleau Dashboards, Team Building, Overcoming Adversity, Working in "Crisis Mode"

✨ Technologies:

Languages: Python, SQL, Microsoft SQL Server, PostgresSQL, and Flask
Analysis & Visualization: Pandas, Numpy, Matplotlib, Seaborn, Plotly, SHAP, Lime, Google Colab, Tableau, and Dash
Modeling: Statsmodels, Scikit-learn, Tensorflow/Keras, Pyspark, NLTK, TFLearn, and Pycaret

📫 How to reach me:

🔭 I’m currently working on:

  • Disney Theme Park Review & Rating Analysis.
  • NBA Shot Prediction Project.
  • Creating dashboards for several of my previous projects.
  • Deploying an app for deepfake image detection.

🌱 I’m currently learning:

  • AI Full Stack Development Certification
  • Methods to make my code more efficient.
  • Learning Pycaret and deepening skills in Pytorch.
  • Deep dive into AWS

⚡ Fun fact:

I'm actually still an active musician! Check out my new electronic/synthpop band Black Mansions on Spotify or anywhere you like to stream music. It's good for you.


  1. spotify_song_data spotify_song_data Public

    Part 1: Analysis of Spotify song data that uses Machine Learning to determine what features make a "hit" song on Spotify.

    Jupyter Notebook 2 1

  2. customer_churn_project customer_churn_project Public

    Classification with Telecom Customer Churn Data

    Jupyter Notebook

  3. global_terrorism_analysis global_terrorism_analysis Public

    Jupyter Notebook

  4. detecting_disaster_tweets detecting_disaster_tweets Public

    Forked from learn-co-students/dsc-mod-4-project-v2-1-onl01-dtsc-ft-070620

    Jupyter Notebook 1