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Open to internship and job opportunities

Hi, I'm Jacob Ball

 

Marine Corps veteran and Fordham University Data Science Graduate student with expertise in Python, scikit-learn, SQL, and machine learning. Experienced in building predictive models, data preprocessing, and network infrastructure, with a background leading mission-critical IT operations for 100+ users. Seeking data science or analytics internship opportunities to further develop skills in predictive analytics and AI-driven insights.

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Career

Work Experience

  • Ensured safety and security of premises, enhancing operational efficiency by implementing new patrol logging procedures.
  • Addressed member concerns with professionalism, demonstrating problem-solving and time management skills.
  • Oversaw nightly closure procedures for the club, ensuring the safe departure of all members and staff before executing comprehensive lockdown protocols.
  • Designed and maintained local and campus area networks, ensuring 99.999% uptime for over 100 users during critical operations.
  • As Platoon Network Chief, spearheaded IT operations for the Balikatan 2023 exercise, deploying LAN infrastructure to support over 200 personnel.
  • Improved network efficiency by automating routine administrative tasks, reducing configuration time by 30%.

Academic

Education

My academic background and professional certifications.

Degrees

M.S. Data Science

Fordham University

2027 · New York, NY

Relevant Coursework

Algorithms for Data Science

B.S. Information Technology & Systems

Fordham University

2026 · New York, NY

3.85
GPA
Dean's List 2024–2025

Relevant Coursework

Computer Science I & IIData StructuresDatabase SystemsWeb ProgrammingSecure Cyber NetworksData Comm & Networks

Certifications

Python Basics for Data Science

IBM · 2023

Expertise

Technical Skills

Technologies and tools I work with professionally.

Programming Languages

Python100%
SQL90%
C++75%
JavaScript50%
HTML50%

Data Science & ML

pandas90%
scikit-learn80%
NumPy80%
Feature Engineering65%
Time Series Analysis65%
yfinance API65%

Networking & Infrastructure

LAN/WAN Design85%
TCP/IP85%
Network Architecture80%
Data Communications80%
Linux60%
Cybersecurity60%

Frontend

HTML/CSS70%
Bootstrap70%

Backend & Databases

MySQL90%
Node.js60%

Tools

Jupyter Notebook100%
Git95%
VS Code100%
Agile60%

Portfolio

Featured Projects

A selection of projects that demonstrate my technical capabilities.

Stock Market Data Pipeline & Prediction Model

End-to-end machine learning pipeline for predicting S&P 500 stock movements using historical market data.

  • Built a full data ingestion pipeline to collect, normalize, and clean historical market data using the yfinance API
  • Developed a Random Forest classifier with a backtesting engine achieving 55.7% precision across 9,000+ historical trading days
  • Implemented train-test splits and data leakage prevention for reliable model evaluation
Pythonscikit-learnpandasyfinance APITime Series Analysis

Directed Weighted Graph with BFS

A C++ implementation of a directed weighted graph abstract data type with full traversal capabilities.

  • Implemented adjacency matrix representation using dynamic 2D arrays with full vertex and edge operation support
  • Developed a breadth-first traversal algorithm achieving O(V+E) time complexity across 7+ vertices and 9+ weighted edges
  • Utilized STL queue and vertex marking system for efficient graph exploration
C++Graph TheorySTLDynamic Memory Management

Dynamic Sinusoidal Graphing Tool

A C++ program that dynamically calculates and renders sinusoidal functions based on user-defined input.

  • Designed dynamic sinusoidal function calculations with optimized iterative performance based on user input
  • Applied modular programming techniques to improve code maintainability, reducing debugging time by 20%
  • Produced clean graphical outputs directly from algorithmic computation
C++Algorithm DesignGraphical Outputs

Want to see more?

View All on GitHub

Contact

Get In Touch

Think I'd be a good fit for a role or have a project in mind? I'd enjoy hearing from you.

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