Daud Aman

• Completed an 8-week Machine Learning Internship and Training Program.
• Worked on machine learning fundamentals, data preprocessing, model training, and evaluation
techniques.
• Gained hands-on experience with supervised learning algorithms and practical AI workflows.
• Applied Python-based machine learning tools and frameworks to real-world datasets.
• Participated in technical training sessions, project-based learning, and industry-oriented AI
practices.

Led a team of 10 members in developing a machine learning-based signature verification system.
Managed task allocation and monitored project progress throughout development.
Assisted with data preprocessing, model training, testing, and performance improvement.

• Mentored students in Programming Fundamentals and Fundamentals of Accounting.
• Evaluated assignments, quizzes, and lab work with constructive feedback.
• Assisted faculty in improving course material and delivery methods.
• Conducted review sessions and debugging guidance for improved student performance.

• Managed a 10-member team implementing SDLC methodologies and IT documentation stan
dards.
• Oversaw requirement analysis, task delegation, and milestone tracking. (Fake Signature Detection System)
• Led and managed a 10-member team in developing a machine learning-based signature verifica
tion system using image classification techniques.
• Coordinated task allocation, progress tracking, and technical decision-making throughout the
project lifecycle.
• Supervised dataset preprocessing, model training, evaluation metrics, and performance opti
mization.

• Led a 4-member team applying planning, organizing, leading, and controlling principles to
WSSP.
• Conducted organizational analysis and presented strategic recommendations.