B.Sc. in Computer Science and Engineering
American International University-Bangladesh
CGPA 3.49/4.00; Dean’s List Honors (July 2023)
Simanto Podder is a Computer Science and Engineering graduate of American International University-Bangladesh (CGPA 3.49, Dean’s List) working in machine learning, data science and data analysis. Projects range from student-performance prediction to S&P 500 stock analysis in Python, and the research applies supervised learning, feature engineering and model interpretability to educational data mining, including early-warning systems for student dropout in higher education.
American International University-Bangladesh
CGPA 3.49/4.00; Dean’s List Honors (July 2023)
My work lies at the intersection of technical robustness and social impact.
Machine learning; data science; educational data mining; feature engineering and model interpretability; artificial intelligence.
Selected scholarly works and current manuscripts.
No publications available yet.
Recent speaking engagements and workshop contributions.
No conferences available
Recognition for academic excellence and research contributions.
American International University-Bangladesh
Relationship between student features and academic success, and machine-learning models to predict pass or fail.
View resource ↗Cleaning and analysing stock data for returns, volatility and moving averages using core Python data tools.
View resource ↗MVC web application in HTML, CSS, PHP and JavaScript.
View resource ↗Python, C++, C#, Java, PHP, JavaScript, ASP.NET (MVC, Entity Framework, Web API)
Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Jupyter, Git/GitHub, Kaggle, statistical analysis
Download my full academic CV including complete publication history, teaching portfolio, and detailed project descriptions.