Aakash Prasad Sah

I am a recent B.Tech in Computer Science and Engineering with hands-on experience in machine learning, data analysis, and full‑stack development.

During a Full Stack developer internship I built RESTful APIs with Node.js/Express and integrated React components, managed version control with Git, and worked with MongoDB and MySQL to support end-to-end features.

I have led ML projects including a heart-failure risk prediction model where I performed comprehensive EDA, data cleaning, encoding, feature scaling, and evaluated models using accuracy, precision, recall, F1 and ROC‑AUC to deliver strong logistic regression performance.

For computer vision, I built a CIFAR-10 image classification pipeline with a CNN using PyTorch and torchvision, applying data augmentation, training with cross‑entropy loss and SGD, and validating results through accuracy and sample visualizations.

I hold certifications in data analysis, supervised and unsupervised learning, and Azure Fundamentals, and I maintain a project portfolio on GitHub; I am collaborative, curious, and eager to apply my skills to data-driven products that make measurable impact.