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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 Science graduate student at Syracuse University with a strong foundation in Statistical Analysis, Machine Learning, and Data Visualization. My background is in Applied Computational Mathematics, 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'm pursuing an MIS in Data Science at Syracuse University, with a projected graduation date of summer 2025. I received my Bachelors in Applied Computational Mathematics at Florida State University in the spring 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!

Popular repositories Loading

  1. BlakeZurman BlakeZurman Public

    1

  2. SPY_Predictive_Model SPY_Predictive_Model Public

    This is a group project I did during my undergrad at FSU.

    Python

  3. 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

  4. 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