I'm a passionate data scientist with expertise in data mining, machine learning, and statistical analysis. I'm proficient in Python, R, Java, and SQL, and experienced with various tools and technologies including TensorFlow, Scikit-learn, PostgreSQL, and Hadoop. I enjoy tackling challenging projects and continuously expanding my skillset.

• 🌱 I’m currently pursuing a Master of Science in Data Science at Worcester Polytechnic Institute (Fall 2024 - Fall 2025).
• 👯 I’m looking to collaborate on data science projects and contribute to innovative research.
• 💬 Ask me about data mining, machine learning, statistical modeling, data visualization, or my experience working with large datasets.
• 📫 How to reach me: [email protected]
• ⚡ Fun fact: I completed a 660-mile motorcycle journey from Queens, NY to Highland Heights, KY in 10 hours and 33 minutes!

Programming Languages: Python, R, Java, SQL

Machine Learning: TensorFlow, Scikit-learn, Deep Learning, Statistical Analysis

Data Tools: PostgreSQL, Hadoop, Spark, Tableau

Other Skills: Git Version Control, Data Visualization, Project Management, Technical Writing

Here are some of my notable projects:

1. Automated Inspection System Alert (ISRA Vision): Developed an automated inspection system for quality control and defect detection.

   • View Presentation

2. Customer Analysis (Fifth Third Bank): Conducted extensive 3-month research analyzing customer data, culminating in a presentation to Fifth Third Bank representatives.

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3. Email Spam Detection: AI and Machine Learning-based system for detecting spam emails using a Kaggle dataset.

   • View on GitHub

4. Personal Loan Calculator: Excel-based tool for calculating and analyzing personal loan scenarios.

   • View Calculator

5. Dairy Good Sales Analysis: Analysis of dairy product sales using a Kaggle dataset with Jupyter Notebook.

   • View Presentation

6. Pat's Print Shop Transshipment: Business case study analyzing transshipment optimization using R programming.

   • View Case Study

7. Wine Regression Analysis: Statistical analysis of wine characteristics using R programming.

   • View Analysis

8. AI and Data Mining in Games: Comprehensive report on AI and Data Mining applications in gaming.

   • View Report

• Analyzed NFL game statistics using advanced data mining techniques.
• Implemented statistical analysis including frequency analysis and Markov chain analysis.
• Developed predictive models for field goal success rates and Super Bowl square probabilities.
• Achieved 95% accuracy in predicting field goal outcomes.
• View Research Poster

• Worcester Polytechnic Institute: Master of Science in Data Science (Fall 2024 - Fall 2025)

• Northern Kentucky University: Bachelor of Science in Data Science (Fall 2021 - Spring 2024)

• GitHub
• LinkedIn
• Kaggle
• Personal Website/Blog

Feel free to reach out to me for any collaboration or just a chat!