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zabi-32/README.md

Hi there! πŸ‘‹ I'm Zabi Ismail

Welcome to my data-driven world! πŸ“Š As a passionate Data Analyst and Scientist, I navigate the realms of structured and unstructured data to unearth meaningful insights and tell compelling data stories.

πŸš€ About Me

  • 🌐 Exploring the vast landscape of data science.
  • πŸ“ˆ Enthusiastically learning new statistical models and machine learning algorithms.
  • πŸ’‘ Always up for a good data discussion! Let's chat about anything data-related.
  • πŸ“« Reach me on LinkedIn- I love connecting with fellow data enthusiasts!

πŸ› οΈ Skills

  • Languages: Python, SQL, R
  • Tools: Pandas, NumPy, Scikit-Learn, Tableau, Power BI, Jupyter Notebook
  • Soft Skills: Analytical, Collaborative Visionary, Empathetic Communicator

🌐 Data Projects

This repository houses the code and resources for our innovative project aimed at enhancing image accessibility through advanced image captioning techniques. By providing descriptive captions for images, we empower visually impaired individuals to perceive and engage with visual content in a more meaningful way.

This project aims to compare Machine Learning and Deep Learning algorithms in the case of Pneumonia Detection using the Chest X-Ray Images dataset.

This repository contains a customer segmentation project, which aims to analyze and segment customers based on their purchasing behavior. Customer segmentation is a valuable technique for businesses to understand their customer base better, tailor marketing strategies, and improve customer satisfaction.

EmoBot is an innovative project that combines real-time emotion detection with a voice-activated assistant, creating an interactive and emotionally-aware AI companion. This repository contains all the code and resources you need to build your own EmoBot and explore the exciting world of emotion-aware artificial intelligence.

πŸ“š Education & Certifications

Let's uncover the stories hidden in the data together! πŸš€πŸ“ˆ

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