2023 — 2027
Bachelor of Science in Computer Science (BSCS)
Rawalpindi Women University
Rawalpindi, Pakistan
COMPUTER SCIENCE STUDENT · PAKISTAN
I’m Maryam Arshad, a Computer Science student interested in machine learning, data science and full-stack web development. I’m building my skills through coursework, internships and projects.
My work so far spans machine learning, data analysis and web development.
I’m pursuing a BS in Computer Science at Rawalpindi Women University. My academic and internship work has introduced me to data analysis, machine learning, image processing and application development. Alongside this, I’m learning end-to-end website development, including responsive interfaces, backend fundamentals and databases.
My academic background
2023 — 2027
Rawalpindi Women University
Rawalpindi, Pakistan
2021 — 2023
Army Public School & College System (APSACS)
Mathematics · Physics · Computer Science
2019 — 2021
Federal Board of Intermediate & Secondary Education
Islamabad, Pakistan
Areas I’ve studied or practised
Writing code and solving computational problems.
Preparing datasets, training models and checking results.
Exploring neural networks and text-based tasks.
Working with image quality and visual features.
Foundations for mobile and software projects.
Learning to build websites from interface to data layer.
Internship learning and project work
Learning full-stack website development, including responsive frontend interfaces, backend fundamentals, databases and SEO basics.
Practised classification, regression, clustering and recommendation workflows using Python and machine-learning techniques. Projects included survival prediction, stock-price regression, customer segmentation and movie recommendation.
Worked on a search-intelligence capstone to prioritise content for review, evaluated results across client groups, checked for data leakage and built a reason-coded action queue for human review.
Coursework and projects
Some projects are learning or academic projects. Details and live demos are linked only where available.
A search-intelligence workflow designed to prioritise pages for review. The project compares grouped evaluation with a naive random split to make the limits of model performance clearer.
Read the live case studyMerit-based selection · 2025

I was selected on merit for the PM Youth Laptop Scheme 2025. This achievement supports my continued learning in computer science and technology.
PM Youth Laptop Scheme · 2025Open a certificate only when you want to view it
Arch Technologies
Anthropic · August 2026
FlyRank AI
Pak Angels
ORIC
ORIC · Rawalpindi Women University
DigiSkills
DigiSkills
Contact me about internships, project work or collaboration in AI, data science and software development.