I'm a Computer Science student at Columbia University with a passion for leveraging technology to solve real-world problems. As a Machine Learning Fellow at Cornell Tech (through the Break Through Tech AI program), I'm developing both technical expertise and professional skills to make meaningful contributions in the tech industry.

I'm enthusiastic about building data-driven solutions, creating intelligent systems, and continuously expanding my knowledge. Currently, I'm focused on machine learning foundations, natural language processing, and developing practical AI applications. I'm actively seeking full-time and/or internship opportunities where I can apply my skills, collaborate with industry professionals, and contribute to impactful projects.

🎯 Current Focus: Machine learning engineering, AI-powered tools, software engineering, and data analytics

AI-Powered Development Assistant

A sophisticated terminal-based coding agent that interprets natural language instructions and executes code safely using Claude AI. This project demonstrates practical application of LLM integration and secure code execution.

• Tech Stack: Python, Claude AI API, subprocess management
• Key Features: Natural language to code translation, sandboxed execution environment, error handling and debugging assistance
• Impact: Streamlines development workflow by enabling conversational programming
• Learnings: API integration, security best practices, prompt engineering

Data Science Competition Project - Break Through Tech x Rockstar Games Datathon 2025

Led data analysis for the Break Through Tech Datathon in partnership with Rockstar Games, exploring player behavior patterns in GTA Online. This project showcases end-to-end data science workflow from exploration to insights.

• Tech Stack: Python, Pandas, NumPy, Matplotlib, scikit-learn, Jupyter Notebook
• Methodology: Exploratory data analysis, feature engineering, statistical modeling, data visualization
• Results: Identified key player engagement patterns and provided actionable recommendations for game design
• Collaboration: Worked in a team environment with version control and code reviews

Cornell Tech Break Through Tech AI Program

Comprehensive collection of machine learning projects completed through Cornell Tech's ML Foundations course, demonstrating proficiency in core ML concepts and algorithms.

• Tech Stack: Python, scikit-learn, Pandas, NumPy, Jupyter Notebook
• Topics Covered:
  • Supervised learning (regression, classification)
  • Unsupervised learning (clustering, dimensionality reduction)
  • Model evaluation and validation
  • Feature engineering and selection
• Highlights: Hands-on implementation of ML algorithms, data preprocessing pipelines, and model optimization

📊 Contribution Highlights:

• Actively maintaining personal projects with regular commits and updates
• Contributing to collaborative coursework and team projects
• Building a portfolio of data science and machine learning applications
• Consistent learning demonstrated through project evolution and skill development

As a Break Through Tech AI Fellow at Cornell Tech and computer science student at Columbia University, I'm continuously expanding my skill set:

• Advanced Machine Learning: Deep learning, neural networks, and model optimization techniques
• Natural Language Processing: Text analysis, sentiment classification, and language model applications
• Software Engineering Best Practices: Clean code, testing, documentation, and collaboration workflows
• Data Engineering: ETL pipelines, data warehousing, and scalable data processing
• Professional Development: Technical communication, project management, and industry best practices

• Break Through Tech AI Fellow - Cornell Tech
  • Intensive machine learning foundations program
  • Industry collaboration and mentorship
  • Real-world project experience with tech companies

When I'm not coding or analyzing data, you can find me:

• On the field: Playing soccer—taught me the importance of teamwork, strategy, and staying focused under pressure
• At the gym: Maintaining discipline and setting incremental goals, skills that translate directly to tackling complex coding challenges
• Exploring stories: Watching films and series to unwind and appreciate narrative structure and character development

I believe staying active and engaged outside of tech makes me a better problem-solver and collaborator!

I'm actively seeking full-time roles, and summer 2026 internship opportunities if given the chance, in:

• Data Science & Analytics
• Machine Learning Engineering
• Software Engineering (focus on backend/data)
• AI/ML Research & Development

I'm particularly interested in roles where I can apply my technical skills to solve meaningful problems, work with diverse teams, and continue learning from experienced professionals in the industry.

I'm always excited to discuss technology, data science, collaboration opportunities, or just connect with fellow developers and learners!

• Email: c.j.emmanuel@columbia.edu | colinjemmanuel@gmail.com
• LinkedIn: linkedin.com/in/colin-j-emmanuel
• Location: New York City, NY