I'm a machine learning enthusiast, and I like developing state-of-the-art machine learning algorithms. I prefer doing research-oriented learning, where I can explore and develop new machine learning models. My thesis was on analyzing the performance of various state-of-the-art oblique decision tree algorithms in ensemble learning (bagging).
My research interest includes human-in-the-loop machine learning, ensemble learning, mathematical optimization, graphical models, and data analysis. Along with that, I have one year of working experience as a data analyst.
I mainly focus on exploring different applications of machine learning related to the - healthcare industry, autonomous industry, computer architecture design, and space science.