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π Interests:
I have a deep passion for Data Science and artificial intelligence, machine learning, I love discovering new insights and uncovering hidden patterns in data. -
π± Current Focus:
I'm continuously growing as a Data Scientist and Machine Learning also learning about AI -
β‘ Fun Facts:
- In my spare time, I am a singer.
- I do photography.
- I love to travel and explore new places.
- 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.