Areeba Khizer

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• Developed a full-stack web application (Python/Flask) for real-time sentiment | 2022–Current Bachelor’s in Data | analysis of social media posts. | Science, COMSATS University, | • Created dynamic, interactive sentiment trend visualizations using D3.js for | Islamabad | comprehensive data overview and user engagement. | 2019–2021 Intermediate in Computer | E-Commerce Customer Segmentation, Unsupervised Learning & Deployment | Science, Punjab Group of Colleges | • Applied K-Means clustering (5 segments) on a retail dataset after PCA | dimensionality reduction for targeted marketing strategies. | • Implemented full data prep pipeline.

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