SUMAIRA MEMON

Available to hire

Hi, I'm Sumaira Memon — an AI/ML Engineer from Pakistan turning data into smart, working products.

About

Hi, I’m Sumaira Memon — an AI/ML Engineer from Pakistan turning data into smart, working products. I recently worked on a Student Performance Predictor project where I trained and compared multiple classification models, selected the best-performing approach, and deployed it as a working web application for real-time predictions.

I enjoy turning data into useful products and communicating results clearly, and I’m currently strengthening my technical and communication skills through my AI & Data Science training. Alongside ML work, I’ve used AI website-building tools to create functional web experiences, and I’m actively looking for entry-level, task-based remote opportunities to keep growing in AI/ML and deployment.

  • Joined September 2026

Languages

  • UrduFluent
  • EnglishAdvanced

Industry experience

  • Education
  • Software & Internet
  • Computers & Electronics
  • Professional Services

More experts in Sukkur, Pakistan

Projects · 1

Portfolio Website + Student Performance Predictor — AI-Built, Live Demo

🌐 Live Site: https://www.twine.net/signin 🤖 Project Demo: https://www.twine.net/signin My freelance portfolio website — designed and built with modern AI tools. A fast, fully responsive single-page site presenting my services, skills, and contact options. It also features my end-to-end machine learning case study: a Student Performance Predictor (89.9% test accuracy with Gradient Boosting) — predicting student pass/fail outcomes from study habits, attendance, background and grades, deployed as a working web app with a live demo. Tech: HTML, CSS, JavaScript, Python, Scikit-learn, Netlify, etc.

  • AI Engineer
  • Data Analyst
  • Data Engineer
  • +2

Work experience

Machine Learning Engineer — Student Performance Predictor (Final Project) · Saylani Mass IT Training (S.M.I.T)Aug 2025 – Aug 2026 · 1 yr 1 mo

Built an end-to-end machine learning pipeline to predict student pass/fail outcomes using academic and behavioral data from the UCI ML Repository dataset (395 students, Portugal schools). Conducted data cleaning, exploratory data analysis (EDA), and feature engineering including encoding categorical variables and scaling numeric features. Trained and compared four classification models—Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting—then selected Gradient Boosting as the final model based on test accuracy of 89.9% and stable performance across 5-fold cross-validation (95.8%). Deployed the selected model as a working web application to enable real-time predictions and presented the project methodology, evaluation results, and model selection to evaluators as part of a 3-person team.

Education

AI & Data Science (course / training) · Saylani Mass IT Training (S.M.I.T) — Sukkur2025 – 2026

Certifications and awards

AI & Data Science Hackathon (4th position, academy-wide)2030 – 2026

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