
Hooria Zainab
AI and Machine Learning Student, Python Developer
Skills

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Work experience
Air University
Self-employed • 9 mos
Machine Learning Developer
May 2026 - Present • 1 mo
Crop Prediction & Recommendation System Developed a complete ML pipeline to predict suitable crops based on soil and environmental data. Trained and compared 4 models Logistic Regression, Decision Tree, Random Forest, and KNN. Random Forest achieved highest accuracy of 99.3%. Implemented full data preprocessing pipeline including encoding, normalization, and feature scaling. Student Dropout Prediction System Built a classification model to predict likelihood of student dropout based on academic and demographic features. Performed data cleaning, exploratory data analysis, and model training to generate predictions that could support early intervention in educational institutions.
Hardware & Circuit Design
Apr 2026 - Present • 2 mos
Robo Motor Car (Digital Logic Design) Designed and assembled a Smart Robot Car from scratch as part of Digital Logic Design coursework. Features included automatic obstacle avoidance, voice control, wireless remote control, and real-time speed detection. Designed logic circuits and handled complete hardware assembly alongside team. Full Wave Rectifier (Applied Physics) Designed and analyzed a Full Wave Rectifier circuit in Applied Physics lab. Demonstrated AC to DC conversion, measured output waveform, and verified theoretical values against practical readings.
Python & C++ Developer
Dec 2025 - Present • 6 mos
Description: Election Based System (Python) Designed and implemented a console-based election management system using Object-Oriented Programming. System handled candidate registration, voter authentication, vote casting, and result computation with real-time tallying. Hotel Booking System (C++) Built a fully functional hotel booking system with features including room reservation, availability checking, customer record management, and billing. Applied core OOP concepts such as classes, inheritance, and file handling for data persistence.