About Me

I am an aspiring Data Scientist with a strong passion for Artificial Intelligence and Machine Learning. Currently pursuing my education from the University of West of England, I have been actively engaging in projects and challenges that enhance my understanding of data structures and algorithms. My commitment to continuous learning is evident through my participation in initiatives like the #30DaysDSA Challenge, where I delve into complex problems to sharpen my coding skills and problem-solving abilities.






Skills & Interests




Portfolio

Here’s a showcase of some of the work I’ve done in AI/ML and data science. Check them out!

Titanic Survival Prediction

Predicting survival of passengers on the Titanic using machine learning models.

GitHub
  • Tech: Python, Pandas, Scikit-learn, Matplotlib, Seaborn
  • Features: Data cleaning, feature engineering, logistic regression & decision tree models
  • Dataset: Kaggle Titanic Dataset

Handwritten Digit Recognition

Classifying handwritten digits using neural networks on the MNIST dataset.

GitHub
  • Tech: Python, TensorFlow/Keras, Numpy, Matplotlib
  • Features: CNN model, image preprocessing, model evaluation
  • Dataset: MNIST Dataset

Movie Recommendation System

Building a recommendation engine to suggest movies based on user ratings.

GitHub
  • Tech: Python, Pandas, Scikit-learn, Surprise Library
  • Features: Collaborative filtering, matrix factorization, recommendation evaluation
  • Dataset: MovieLens Dataset

Twitter Sentiment Analysis

Classifying tweets as positive, negative, or neutral using NLP techniques.

GitHub
  • Tech: Python, NLTK, Scikit-learn, Pandas
  • Features: Text preprocessing, sentiment classification, visualization
  • Dataset: Kaggle Twitter Sentiment Dataset










Contact

If you'd like to get in touch with me for projects or opportunities, fill out the form below.

Download Resume