McMaster University
BSc. in Honours Math & Computer Science
- Languages: C++, Java, Python, SQL, SAS, R, JavaScript, TypeScript, HTML, CSS
- Technologies: Node.js, Next.js, Vue.js, Express.js, React, React Native, PostgreSQL, MongoDB, Docker, Firebase, GCP, Pandas, Seaborn, Jupyter Hub
- Built an ML pipeline using Scikit-Learnβs Random Forest Classifier (95% accuracy) to predict NBA Rookie of the Year
- Scraped NBA rookie draft data with BeautifulSoup + HTTP Requests, consolidating into a Pandas DataFrame
- Designed and built a full-stack Netflix clone using MongoDB, Express.js, React, and Node.js
- Created RESTful APIs for media content with user authentication & optimized database queries in MongoDB
- π§ Email: [email protected]
- π GitHub: github.com/salahs2
- π Portfolio: salahs2.github.io/3d-website/
- π Qualifications: Resume