I'm Manal Aamir, a Data Science student at FAST who enjoys building things that turn raw data into something actually useful. Most of my work sits at the intersection of machine learning, data analytics, and product thinking where messy datasets become clean insights, and models are turned into practical tools people can use.
I mainly work with Python and SQL, and I'm comfortable owning projects end-to-end, from understanding a problem and preparing the data, to building models and turning them into usable solutions. I've worked on industry-style, app-based projects with organizations like Shifa, and Mobilink, which gave me exposure to real-world development workflows and collaborative product building.
I'm also building a femtech startup focused on an AI-powered, culturally sensitive health platform for women, aimed at making healthcare guidance more accessible and personalized. My work is building systems that are not just technically solid, but actually useful in real-world settings.
- Aangan: https://aanganapp.com/
- Email: manalaamirr@gmail.com