Education

MS in Computer Science (OMSCS), Georgia Institute of Technology

• Coursework (GPA: 4.00):
  • CS 6200: Introduction to Operating Systems
  • CS 6250: Computer Networks

MS in Statistics, Rice University

• Coursework (GPA: 4.00):
  • STAT 518 Probability
  • STAT 519 Statistical Inference
  • STAT 535 Data Science Projects
  • STAT 605 R for Data Science
  • STAT 613 Statistical Machine Learning
  • STAT 615 Regression and Linear Models
  • STAT 616 Advanced Statistical Methods
  • STAT 622 Bayesian Data Analysis
  • STAT 649 Quantitative Financial Risk Management
  • COMP 533 Intro to Database Systems
  • CHBE 615 Applied Molecular Simulation & Statistcal Mechanics

Ph.D. in Chemical Engineering, Rice University

• Coursework (GPA: 3.88):
  • CHBE 501 Fluid Mechanics & Transport Process
  • CHBE 590 Advanced Reaction Engineering
  • CHBE 594 Properties of Polymers
  • CHBE 602 Physico-chemical Hydrodynamics
  • CHBE 611 Advanced Topics-thermodynamics
  • CAAM 452 Numerical Methods for PDEs
  • PHYS 533 Nanostructure/Nanotechnology
  • PHYS 610 Methods of Molecular Simulation

Coursera

• Deep Learning Specialization offered by deeplearning.ai
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
• Algorithms Specialization offered by Stanford
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms
  • Graph Search, Shortest Paths, and Data Structures
  • Greedy Algorithms, Minumum Spanning Trees, and Dynamic Programming
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
• Version Control with Git offered by Atlassian

Udemy

• Taming Big Data with Apache Spark and Python - Hands on!

Other

• Stanford CS231n: Convolutional Neural Networks for Visual Recognition