I like to explore ways to efficiently use computational resources to get the most out of the data. I am interested in efficient data visualization, statistical analysis, machine learning, and data-driven optimization and decision making. I have an extensive background in mechanical engineering, logistics engineering, robotics, Monte Carlo simulation, regression analysis and longitudinal and multivariate data analysis. I enjoy employing my analytical skills to interdisciplinary problems. I have worked on projects in the fields of renewable energy, thermal systems, inventory management, and portfolio optimization.
- Supervised Machine Learning
- Data Cleaning
- Data Visualization
- Convex Optimization
- Simulation Optimization
- Reinforcement Learning
- Statistical Modeling
I am interested in…
I would like to explore test mining, deep learning, and computer vision.
B.E. Mechanical Engineering BITS Pilani
M.S. Mechanical Engineering Purdue University
Ph.D. Industrial and Systems Engineering NC State
Area(s) of Expertise