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Shafaq Fatima Mughal
Aspiration Statement
I want to pursue a career in Data Science and Machine Learning. My intention is also to pursue a Master's degree in Artificial Intelligence, or more specifically, in different domains of Machine Learning, including Natural Language Processing and Computer Vision.
Core Skills
- Communication Skills
- Data Science
- Machine Learning
- Natural Language Processing
- Python
- Research
- Teamwork
- Time Management
Academic Awards / Achievements
- President's List, 2022
- Dean's List, Fall 2022
- Dean's List, Spring 2022
- President's List, 2021
- Dean's List, Fall 2021
- Dean's List, Spring 2021
- High Achiever’s Academic Scholarship - Fall 2022, Habib University
- High Achiever’s Academic Scholarship - Spring 2022, Habib University
Experience
Leadership / Meta-curricular
- General Secretary, Habib University Computer Science and Engineering Club (CSEC)
- Student Mentor, 2021 - First Year Fundamentals, Habib University
- Winner, Invent for The Planet (IFTP) 2023, Habib University
Internship / Volunteer Work
- Researcher, Summer Tehqiq Research Program, Habib University (June 2022 – August 2022)
- Backend Developer, Securiti ai (June 2022 – July 2022)
- Teaching Assistant, Deep Learning; Probability and Statistics; Database Systems, Habib University (September 2021 – December 2022)
Publications / Creative Projects
- Published: Urdu Music Genre Classification Using Convolution Neural Networks in IEEE Xplore
Final Year Project
Project Title
Mai - A Transformer-based Urdu Chatbot for Menstrual Health and Hygiene
Description
In rural areas of Pakistan, young women do not have access to accurate information regarding menstruation and proper sanitary products. Even though menstruation is a regular and natural event for women, it is still a delicate and taboo subject, particularly in Pakistan. Our project (Mai) is a transformer-based chatbot that will serve as a safe space to get women’s questions answered without the fear of being judged or punished for educating themselves about an essential part of their anatomy. It is trained on a dataset that has been verified by multiple doctors and aims to provide accurate information to the users.