Aquill Rao

I've built machine learning applications for automated supermarket billing, wind power forecasting, and construction-cost prediction. My work combines predictive modeling, computer vision, data analysis, and interactive user interfaces.

At Unified Mentor, I worked on machine learning, data analysis, and visualization, building a predictive model that achieved 87% accuracy and interactive dashboards that improved analysis efficiency.

At Addition Consulting Services, I developed a computer-vision supermarket billing system for automated product recognition and faster checkout. I also built a Streamlit-based wind power forecasting tool for real-time predictions and analysis.

I'm completing a B.Tech in Artificial Intelligence & Data Science at The Apollo University and am seeking an entry-level role where I can solve real-world problems, contribute to organizational growth, and keep learning.