🎓 Data Science & Finance @ Northeastern University (Khoury + D’Amore-McKim)
💡 Interested in building data-driven systems, ML applications, and scalable backend solutions
- Languages: Python, SQL, Java, HTML
- ML / Data: Pandas, NumPy, Scikit-learn, Plotly
- Backend / Systems: Flask, REST APIs, Redis
- Databases: MySQL, MongoDB, SQLite
- Tools: Git, Docker, VS Code, Tableau
- Built ML models (R² ≈ 0.89) to recommend destinations + forecast tourism demand
- Processed 26,000+ records and engineered features using APIs (World Bank, etc.)
- Deployed interactive dashboard (Streamlit) with filters, maps, and user-based recommendations :contentReference[oaicite:0]{index=0}
- Designed a Twitter-like backend system using Redis data structures
- Built RESTful APIs for posting, retrieval, and user interactions
- Optimized timeline generation speed by ~500% through improved data access patterns :contentReference[oaicite:1]{index=1}
- Developed a Java/HTML-based system for dynamic form creation and submission
- Implemented role-based workflows and centralized database storage
- Scaled to support 30+ chapters and hundreds of users
- Incoming AI / Strategy Intern @ EY Wavespace (Madrid)
- Consultant @ LatAm Strategy Group (market analysis + data-driven recommendations)
- LinkedIn: linkedin.com/in/maria-samos-rivas
- GitHub: github.com/maria1neu
- Email: samosrivas.m@northeastern.edu