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Nadia kausarNK
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Nadia kausar

@nadiakausar

Full-stack developer specializing in MERN and Django, building responsive apps and AI/ML features that improve decisions.

Pakistan
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What I'm looking for

I’m looking for a role where I can build responsive full-stack products and ship AI/ML-powered features. I want real-world projects, clean engineering practices, and opportunities to grow through mentorship and measurable impact.

I’m a Full Stack Web Developer with expertise in MERN Stack (MongoDB, Express.js, React.js, Node.js) and Django, and I enjoy turning ideas into responsive, user-focused, high-performance web applications. I focus on clean modern front-end design, secure and scalable back-end systems, and smooth API integrations.

In my Full Stack Web Development Intern work and AI & Machine Learning Intern projects, I built and integrated real-world features like authentication, carts, order processing, RESTful APIs, and content management. I also worked with data-driven solutions—performing data preprocessing, visualization, and implementing basic machine learning models using Python, Pandas, Matplotlib, and Scikit-learn.

Experience

Work history, roles, and key accomplishments

AT

AI & Machine Learning Intern

Arch Technologies

Developed full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) and Django. Built RESTful APIs and performed data preprocessing, visualization, and basic machine learning model development for prediction and pattern recognition.

Education

Degrees, certifications, and relevant coursework

University of Lahore logoUL

University of Lahore

Bachelor of Software Engineering, Software Engineering

2023 - 2027

Activities and societies: AI & Machine Learning project: data preprocessing, analysis, and visualization using Python, Pandas, Matplotlib, and Scikit-learn; implemented basic ML models to identify patterns and support data-driven decision-making.

Pursuing a Bachelor of Software Engineering at the University of Lahore (2023–2027). Completed a machine learning project using real-world datasets with data preprocessing, analysis, visualization, and basic ML model implementation.

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