CV

Education

• Ph.D., Chemical Engineering, Massachusetts Institute of Technology
  • Thesis on the Mathematical Modeling and Stochastic Simulation of Complex Fluids and Polymers
  • Minor in Applied Mathematics
• M.S., Chemical Engineering Practice, Massachusetts Institute of Technology
• Bachelors, Chemical Engineering, Indian Institute of Technology – Delhi
  • Programming languages: C/ C++, Java, MATLAB

Continuing Education

• MicroMasters in Statistics and Data Science, Massachusetts Institute of Technology (MITx) on edX
• MIT IDSS Applied Data Science Bootcamp
• Generative Deep Learning with TensorFlow, Coursera
• Deep Learning Specialization, Coursera
• IBM Data Science Professional Certificate

Data Science and Math Coursework

• Machine Learning with Python: from Linear Models to Deep Learning (MITx 6.86x)
• Data Analysis: Statistical Modeling and Computation in Applications (MITx 6.419x)
• Fundamentals of Statistics (MITx 18.6501x)
• Probability (MITx 6.431x)
• Numerical Methods for Partial Differential Equations (MIT 6.339)
• Advanced Partial Differential Equations (MIT 18.306)
• Advanced Asymptotic Methods (MIT 18.305)
• Nonlinear Dynamics (MIT 18.385)
• Statistical Mechanics (MIT 8.333)
• Optimization
• Probability and Stochastic Processes
• Data Structures