Ankit Singh

My projects include a spam classifier built with Naive Bayes and TF-IDF that reached 96% accuracy. I used NLTK to preprocess text and deployed the model in a Streamlit interface for testing custom email inputs.

For handwritten digit recognition, I trained a TensorFlow and Keras neural network on MNIST, achieving 97%+ test accuracy. I also prepared the 28x28 pixel inputs and visualized misclassified samples with Matplotlib.

On a Titanic survival prediction project, I used Logistic Regression and Random Forest with Scikit-learn to reach 82% accuracy. I cleaned and explored the dataset with Pandas, Matplotlib, and Seaborn, then evaluated the model using precision, recall, F1-score, and a confusion matrix.

I'm a third-year B.Tech Computer Science (Hons.) student at Quantum University, Roorkee, studying Artificial Intelligence & Machine Learning. As Placement Coordinator at Quantum University, I coordinated placement drives and served as a liaison between recruiters and students.