Aaryan Chandra

I am a B.Tech student in Computer Science and Engineering (Big Data Analytics) with hands-on experience building machine learning systems, ETL pipelines, and web backends. I combine strong academic performance with practical internship and project work to deliver production-focused solutions.

During a summer internship at Bharat Heavy Electricals Limited, I developed a Critical Care Monitor using predictive analytics and real-time processing, built anomaly detection and risk forecasting models, and created Flask APIs to automate staff allocation. My projects include a CNN-based facial emotion recognition system that drives music recommendations, an end-to-end cricket data analytics ETL and dashboard solution, and a full-stack fitness application with secure authentication and responsive UI.

I bring proficiency in Python, SQL, ML libraries, Flask, MongoDB, Power BI, and front-end technologies, and I am passionate about applying data-driven solutions to operational problems and product features. I seek roles where I can continue building scalable analytics and ML systems that create measurable impact.