Mohammed Afthab على

Worked on a Plagiarism Detection
System using Python
Applied basic NLP/text similarity
techniques for document comparison AIML Intern
Trainee
Completed 3-month AI & Machine
Learning Practicum basics of Python, ML, data
analysis, model building

Completed an AI & Machine Learning Practicum focused on Python programming, data preprocessing, machine learning algorithms, and model development. Worked on implementing ML models, analyzing datasets, and understanding supervised and unsupervised learning techniques. Gained practical experience with Python, NumPy, Pandas, Scikit-learn, and basic deep learning concepts while completing hands-on assignments and projects.

Worked as a Python Intern at SuprMentr Technologies, contributing to the development of a Plagiarism Detection System. Developed Python scripts for text preprocessing, similarity analysis, and data handling. Applied Natural Language Processing (NLP) techniques such as TF-IDF and BERT for document comparison. Collaborated with the team to test, debug, and improve the system while gaining hands-on experience in Python, machine learning, and software development.

• Provided customer support through calls, emails, and ticketing systems.
• Resolved IT/help desk issues and escalated complex technical problems.
• Maintained customer records and ensured timely issue resolution.
• Worked collaboratively with team members to deliver quality support.