S M SHAMSIL AREFIN

Data Science student with over one year of research experience in machine learning, statistical modeling, and data visualization. Expertise in Python libraries such as Pandas, NumPy, and scikit-learn, along with SQL and Tableau. Demonstrated ability to build data pipelines, design A/B tests, and develop predictive models that drive actionable insights. Strong collaboration skills with a track record of delivering impactful results across teams.

Music Recommendation System using Facial Expressions, Python, MySQL, ReactJS, Firebase, Wrote optimized SQL queries improving execution time by 20%., Built a mood-detection AI model with NLP preprocessing (SpaCy), improving detection accuracy by 25%., Designed interactive UI/UX increasing user engagement by 35%. Biodiversity in National Parks, Python (Pandas, Seaborn, Matplotlib), Analyzed 5,000+ species observations to identify biodiversity and endangerment trends., Built visual dashboards to inform conservation strategy for National Park Service. Movie Recommendation System, Python, CLI, Implemented genre/director/rating-based recommendation algorithms using efficient data structures., Ensured system reliability via comprehensive testing and error handling.

• Dean’s Merit Scholarship, CUNY Brooklyn College, 04/24
• Dean’s Associate High GPA Merit Award, QCC, 04/23
• Long Island Engineers Club Annual Scholarship, 05/21

Relocation: Open to Relocate