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TASNEEM ADNAN
Aspiration Statement
“I want to pursue my postgraduate studies in Artificial Intelligence and Data Analysis which is focused towards providing a customized user/customer experience. As a career, I am more interested in exploring Data Analysis techniques, algorithm optimization and front-end development. My other passions include reading and fabric painting.”
Core Skills
- Python, C++, C#, R
- HTML, CSS, JavaScript, React
- Django, Rest Framework and GraphQL
- Microsoft Office, especially MS. Excel, MS. Word, MS. PowerPoint
- Autodesk Maya, Adobe Illustrator, Adobe Audition, Adobe After Effects
Academic Awards / Achievements
- HU TOPS 100% Scholarship
Experience
Leadership / Meta-curricular
- Habib University Artificial Intelligence Club - Member
- Women in Science and Engineering Society - Member
- Ethical Decision Making Module in ‘Code Play 2.0 - Member
Internship / Volunteer Work
- BenchMatrix Pvt. Ltd. - Senior Software Developer (Sep 2022 - Present)
- UBL - Tech Analyst (Aug 2020 - Apr 2021)
- BenchMatrix Pvt. Ltd. - Intern
- Habib University - Teaching Assistant
Publications / Creative Projects
- Social Spider Optimization for Travelling Salesman Problem: A nature inspired algorithm, stimulated by the foraging behavior of social spiders was modelled to solve a real-world problem called the ‘Travelling Salesman Problem’.
- Fractal Plants Generation: An attempt to appreciate the connection between nature and computation was made by reproducing plant-like structures using the bracketed Lindenmayer Systems (L-Systems).
- BSEK Registration System: An online examination registration system was built to enhance the registration system for the board examinations of the Board of Secondary Education, Karachi.
Final Year Project
Project Title
Personalized Outfit Recommendation System
Description
My final year project, the Personalized Outfit Recommendation System, aims to enhance the shopping experience of the customers by creating a more personalized experience. The idea behind this project is to address the key issue, product curation, by providing expert recommendations across different clothing items to the end consumer. Our web tool would allow shoppers to visually search the catalogue of e-commerce stores by uploading pictures of outfits they like or taking a photo with their phone’s camera. Our web tool aims to provide two sets of recommendations when an item is being viewed: items being visually similar (and of the same type) to that currently being viewed, and items visually complementary to that being viewed, allowing users to ‘complete the look’. This allows stores to up-sell and increase the average sales of their products. (Group Project)
Project Pictures
