Hana Kafri

I’m an innovative, highly analytical Computer Engineering graduate with hands-on experience across machine learning, data analytics, and backend engineering. I’m especially drawn to building AI-driven architectures while maintaining absolute data integrity end to end.

As a Data Analyst Intern at PARI Technologies (Remote), I analyzed large datasets with advanced Python and SQL to uncover logistics trends and actionable operational insights. I developed and maintained predictive machine learning pipelines using Scikit-Learn and Random Forest, then communicated results through Power BI dashboards supported by automated Python statistical analyses.

Earlier, as a Backend Developer Intern at Harri (Ramallah), I designed and optimized relational database schemas using SQL and ORM to guarantee transactional consistency. I also engineered secure RESTful APIs with Django and Django REST Framework to support reliable server-side data processing and manipulation.

My projects reflect my focus on practical AI: in an AI in HealthCare disease diagnosis application, I used Pandas and NumPy for EDA, trained classification models like LightGBM and Random Forest, and integrated a Gemini-powered API chatbot interface. I enjoy rapidly mastering cutting-edge models, translating complex technical structures into actionable innovations, and collaborating effectively with distributed remote teams.