Laiba Mir

Data Science Intern

Apr 2026 - Jun 2026 • 2 mos

AQI Prediction System Developed a machine learning pipeline for Air Quality Index (AQI) prediction, performing data cleaning, exploratory data analysis, feature engineering, and visualization using Python, Pandas, NumPy, and Matplotlib/Seaborn. Trained and evaluated multiple machine learning regression models, comparing performance using metrics such as MAE, MSE, RMSE, and $R^2$ to identify the most effective model for AQI prediction. Built an interactive Streamlit dashboard to visualize air-quality trends and present model predictions, demonstrating an end-to-end workflow from data preprocessing and model development to deployment.

Full Stack Developer

Dec 2025 - Feb 2026 • 2 mos

PinkJournal - Journal Note App Developed and enhanced full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js), implementing responsive user interfaces and RESTful APIs. Built reusable React components, managed application state, integrated frontend interfaces with backend services, and implemented form handling and client-side validation. Developed and tested REST APIs with Node.js and Express.js, including CRUD operations, authentication, data validation, and MongoDB database integration. Worked with Git/GitHub for version control, following collaborative development practices including branching, commits, pull requests, and code reviews. Debugged application issues, tested API endpoints, and optimized frontend/backend workflows to improve application reliability and maintainability. Collaborated with developers and mentors in an Agile development environment, participating in discussions, task planning, code reviews, and feature implementation.