• 👀 Passionate About:
  I'm deeply fascinated by Data Science, Artificial Intelligence, and Machine Learning.
  I thrive on uncovering hidden patterns in data and transforming insights into impactful solutions.

• 🌱 Currently Exploring:
  I'm continuously expanding my expertise in Data Science and AI,
  focusing on cutting-edge developments in Generative Models and Predictive Analytics.

• 🎵 Beyond Tech:

  • 🎤 I'm a singer in my spare time.
  • 📸 I enjoy photography and capturing unique perspectives.
  • ✈️ I love to travel, explore new cultures, and seek inspiration from diverse experiences.

💼 LinkedIn | 🔧 GitHub

• Project 1: leverages machine learning techniques to predict the trajectory and potential impact of asteroids. This project aims to contribute to space safety by providing accurate predictions that can help in mitigating the risks associated with asteroid collisions.
• Project 2: is a detailed guide aimed at teaching the K-Nearest Neighbors (K-NN) algorithm through practical, hands-on examples. This tutorial is perfect for beginners and intermediate data scientists who want to understand the core concepts and applications of K-NN.

• Languages: Python, SQL, Html & Java.
• Frameworks: TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, etc.
• Tools: Git, Docker, Jupyter.