I’m Mobeen Fatima, a detail-oriented Machine Learning and Data Science student who enjoys turning complex datasets into clear, actionable insights. I work across predictive modeling, data processing, and end-to-end pipeline development, with a strong focus on building production-ready solutions that can handle large datasets (100k+ records). I’m also passionate about applying NLP and computer vision techniques—such as OCR and real-time object detection—so projects become both accurate and useful.
In addition to modeling, I like bringing solutions to life through web applications and APIs. I’ve built several Flask/FastAPI and React-based apps (for example, resume building, detection systems, and analyzer tools) and I enjoy integrating backend data/ML logic with user-friendly interfaces. Whether it’s ML research, RAG-style application work, or deploying practical features, I’m motivated by creating reliable systems that solve real technical problems.
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