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BlakeZurman/README.md

Hi there, welcome to My Data Science Portfolio!

My name is Blake Zurman, I'm an ambitious Data Scientist for the Pinellas County Property Appraisers office. I earned my masters in Data Science from Syracuse University with a strong foundation in Statistical Analysis, Machine Learning, and Data Visualization. My background is in Applied Computational Mathematics (FSU), with an emphasis on Mathematical Modeling, Financial Math, and Computer Science. My portfolio includes Data Science projects intended to showcase the intersection of my abilities, and my passions.

About me

I reviceved my MS in Applied Data Science from Syracuse University in the summer of 2025. I received my Bachelors in Applied Computational Mathematics from Florida State University in the spring of 2024. I'm a passionate musician in my spare time.

What You'll Find Here

  • Project Highlights: A collection of projects demonstrating my abilities in data manipulation, statistical analysis, and machine learning.
  • Technical Skills: An outline of the tools and technologies I’m proficient in, such as R, Python, SQL, and various data visualization tools.
  • Case Studies: In-depth explorations of specific problems I’ve tackled, showcasing my approach, process, and results.
  • Contact Information: How to get in touch with me for collaborations, consultations, or job opportunities.

I invite you to explore my work and see how my data science expertise can contribute to solving real-world challenges. Feel free to reach out with any questions or opportunities!

Thank you for visiting!

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  1. Distributed_Database Distributed_Database Public

    This project demonstrates how to efficiently handle and analyze Spotify playlist data using distributed databases. By integrating technologies such as MongoDB, PySpark, and Hive, we transformed raw…

  2. Realtor_Database Realtor_Database Public

    This project demonstrates my knowledge of implementing a relational database model. This repository includes the conceptual model, the logical model, and all the SQL scripts for this database to fu…

    TSQL

  3. Spotify_Song_Recomendation Spotify_Song_Recomendation Public

    This project demonstrates a collection of Data Science techniques using R. These include Data Analysis, Data Cleaning, Data Visualization, Support Vector Machines, Euclidean Distance, and K-Means C…

    R

  4. Deep-Learning Deep-Learning Public

    For this project, I built a deep learning model that can look at a photo of a ship and tell whether it’s a Cargo ship, Military ship, Carrier, Cruise ship, or Tanker. This type of image classificat…

    Jupyter Notebook