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imran_bunta

Hassan Ali

@imran_bunta
Pakistan
English
About me
I'm Hassan Ali — Data Science student at UET Lahore (4 semesters) with 4+ years of paid AI/ML experience. Expert in ML, Deep Learning, RAG, and Agentic AI. Libraries: Pandas, NumPy, XGBoost, TensorFlow, PyTorch, LangChain, CrewAI, OpenCV, FastAPI. I build clean, production-ready models. Fast, dedicated, and results-driven. Let’s solve your problem with AI. Why Choose Me Over Others? ✅ 4+ years of hands-on AI experience ✅ Real paid projects (not certificates) ✅ Expert in ML, Deep Learning, RAG, and Agentic AI ✅ UET Lahore — one of Pakistan's top engineering universities... Read more

Skills

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imran_bunta
Hassan Ali
Offline • 
Average response time: 1 hour

See my services

Machine Learning
I will do machine learning, deep learning, and ai model development in python
From$90 / projectMore details
AI Websites & Software
I will ai website, ai mobile app, machine learning, ai chat app, ai expert
From$50 / projectMore details

Portfolio

Work experience

AI_Medical Technology

Build projects for local buiseness

AI Medical Technology • Freelance

Nov 2025 - Dec 2025 • 1 mo

I specialize in building intelligent, data-driven solutions for the agriculture sector. In a recent project, I successfully developed and delivered three advanced machine learning models for an agriculture company, designed to improve productivity, profitability, and decision-making. ✔ Crop Price Prediction (Random Forest): I built a highly accurate prediction model that analyzes historical market data to forecast crop prices. This helps businesses and farmers plan sales strategies and maximize profits. ✔ Smart Crop Recommendation System (XGBoost): Using inputs such as soil data, location (city & province), and weather conditions, I developed a powerful recommendation engine that suggests the most suitable crops for cultivation—boosting yield and optimizing resource usage. ✔ Crop Disease Detection (Custom CNN Model): I designed a deep learning model that allows users to upload leaf images and instantly detect plant diseases. The model supports 36 different disease classes, enabling early diagnosis and timely action. With a strong focus on accuracy, scalability, and real-world impact, I deliver solutions that are not only technically sound but also practical and easy to use.