Charu Yadav

At Acmegrade Pvt. Ltd., I completed a machine learning internship covering Python-based techniques and model development. I worked on mentor-reviewed tasks focused on real-world machine learning problems and data analysis.

I built a medical diagnosis prediction tool that estimates disease likelihood for diabetes and heart disease, with a real-time Streamlit interface. I also developed a fitness tracker that generates activity insights and progress dashboards from user data.

My other projects include a content-based movie recommendation system using TF-IDF and cosine similarity, and a sales prediction application; I deployed both with Streamlit. I also developed a responsive portfolio website and deployed it on GitHub Pages.

Through the TechSaksham AI internship and a JPMorgan Chase & Co. software engineering simulation via Forage, I gained hands-on exposure to AI workflows and tasks involving Kafka, H2 Database, and REST APIs. I’m currently pursuing an MCA after completing a BCA, and I’m interested in real-world machine learning solutions, full-stack development, and open-source contribution.