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Hi 👋, I'm Abdelhakim Zenibi

Data & AI engineering

coding

About me:

I am a Master's student in Information Systems & Intelligent Systems at INSEA. I am passionate about data science and Artificial Intelligence.
My goal is to combine these two fields to create innovative solutions that can help solve real-world problems. I am constantly learning and expanding my knowledge through my studies and personal projects.


Connect with me:

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Languages and Tools:

android aws azure bash C++ c css3 figma gcp postgresql html5 java javascript linux matlab mssql mysql oracle pandas rstudio python jupyter powerBI sqlite Airflow talend


My Github stats 📈:

Account Stats   Most Used Languages

Abdelhakim Zenibi's Projects

customer-s-feedback-sentiment-analysis-of-bank icon customer-s-feedback-sentiment-analysis-of-bank

Our project's mission is to build a resilient data warehouse solution, facilitating comprehensive analysis of customer feedback for each CIH Bank branch. In the ever-competitive banking landscape, harnessing customer sentiment is paramount for service improvement, elevated satisfaction, and data-informed decisions

homeex-an-iot-based-intelligent-home-assistant icon homeex-an-iot-based-intelligent-home-assistant

Discover Homeex, an open-source IoT-based intelligent home assistant designed for customization and privacy. Perfectly suited for energy-efficient devices like the Raspberry Pi, it utilizes Rhasspy to build versatile voice interfaces for IoT applications.Simplify and enhance your smart home experience while keeping your data and privacy.

pattern-matching-in-the-arabic-language icon pattern-matching-in-the-arabic-language

Our project tackles the complexities of searching Arabic text. We've implemented and compared three pattern matching algorithms for Arabic. Our aim is to help users easily find and locate information in Arabic texts, even with diacritical symbols, using AI and NLP. Experience efficient Arabic text processing with us!

traveling-salesman-problem-solver icon traveling-salesman-problem-solver

This repository offers solutions to the Traveling Salesman Problem through two algorithms: Dynamic Programming for precise results and the K-opt Heuristic for fast, near-optimal routes. Whether you prioritize accuracy or speed, our codebase simplifies TSP optimization for various applications.

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