Aaryan Vyas

I’m a Computer Science Engineering graduate specializing in Artificial Intelligence, with hands-on experience in Machine Learning, Python development, and full-stack web technologies. I build predictive models, data preprocessing pipelines, and AI-powered applications using React, Flask, Scikit-learn, and SQL.

In my Artificial Intelligence internship at IBM Private Limited (Jan 2026 – May 2026), I developed and tested machine learning models in Python, including Linear Regression and Decision Tree algorithms. I performed data cleaning, preprocessing, feature engineering, and model evaluation on structured datasets, while documenting workflows using GitHub.

In my “Used Car Price Prediction” project, I built a machine learning regression model to predict used car prices with 97%+ prediction accuracy. I completed exploratory data analysis, feature selection, preprocessing, model training, and algorithm comparison using MAE, RMSE, and R², and optimized performance through evaluation and cleaning.

In “TechTL;DR,” I developed a mobile application that summarizes technology news articles using NLP-based summarization techniques. I integrated NewsAPI and Firebase for real-time news retrieval and storage, and improved readability through automated summarization and clean UI implementation.