A Python-based Streamlit web app that analyzes customer behavior and visualizes how each customer contributes to annual revenue. Ideal for sales and marketing teams.
Early detection saves lives. SheShield is a Python & Streamlit ML app using Logistic Regression to assist healthcare professionals.
Built and trained a CNN on CIFAR-10 dataset to classify unseen images using TensorFlow.
Custom K-Means clustering algorithm on FIFA 22 player data to recommend similar players based on features.
Python-based interactive virtual assistant that responds to voice commands, automates tasks, and provides hands-free support.
Supervised & unsupervised learning, regression & classification, clustering, feature engineering, model evaluation, hyperparameter tuning, implemented with Scikit-learn.
Neural networks, backpropagation concepts, CNN-based image classification, and model training using TensorFlow & Keras.
Linear algebra, probability & statistics, gradient descent optimization, and cost function analysis.
Python, NumPy, Pandas, data preprocessing, and visualization workflows using Matplotlib.
Hello! I'm Zain Zahid (Zen Zed), a self-taught Python developer and aspiring Machine Learning & AI Engineer with hands-on experience in practical ML & AI projects.
My work focuses on solving real-world problems using supervised & unsupervised learning, deep learning, and automation techniques. I enjoy turning ideas into functional applications, from predictive models to automated solutions.
My approach is simple: learn → build → iterate. I am passionate about pushing the boundaries of what AI can achieve and continuously improving my skills through projects and deployment experience.