Sumaiya Rahman

Job Responsibilities:

• Conduct lectures and laboratory sessions for undergraduate students in Computer Fundamentals, Computer Algorithms, Data Warehouse & Data Mining, and Object-Oriented Programming (theory and lab).
• Prepare and update course outlines, lecture notes, lab manuals, and assessment tools in alignment with departmental curriculum.
• Supervise undergraduate thesis projects, currently guiding 2 students in their final-year research work.
• Serve as academic counselor for two student batches, providing guidance on academic progress, course selection, and career planning.
• Manage teaching across both morning and evening batches, ensuring effective delivery of theory and lab classes.
• Assess student performance through quizzes, exams, lab work, and project evaluations with academic integrity.
• Mentor students to enhance problem-solving, research, and programming skills, fostering independent learning.
• Collaborate with departmental faculty in curriculum development, academic events, and research discussions.

Worked on training and testing machine learning and deep learning models for various real-world AI applications. Responsibilities included dataset preprocessing, feature engineering, model selection, hyperparameter tuning, and evaluating performance using metrics like accuracy, F1-score, and precision. Gained hands-on experience with Python-based ML frameworks and contributed to improving model robustness and reliability.