## Coursework

2013 - present

#### Machine Learning / Applied Linear Algebra private instructor

- solved real-world problems using PCA, spectral/EM clustering, support vector machines, etc.
- developed extensive mathematical background
- visualized data and solutions using Matlab

2013

#### Introduction to Parallel Programmingwww.udacity.com/course/cs344

- implemented maps, reductions, histograms, and sorting algorithms in parallel
- learned CUDA, a C framework developed by NVIDIA

2013

#### Introduction to Hadoop and MapReducewww.udacity.com/course/ud617

- analyzed sales data using a Linux virtual machine and a simulated computer cluster

2013

#### Software Debuggingwww.udacity.com/course/cs259

- created debugging tools from scratch: command line debugger, delta debugging, statistical analysis, and run-time cause-and-effect chains

#### Others...

- Machine Learning www.coursera.org/course/ml
- Linear Algebra MIT OpenCourseware
- Mathematics for Computer Science MIT OpenCourseware
- Introduction to Statistics www.udacity.com/course/st101
- Algorithms, Part I www.coursera.org/course/algs4partI
- Algorithms, Part II www.coursera.org/course/algs4partII
- Algorithms, Design and Analysis Part I www.coursera.org/course/algo

## College

#### University of Michigan

- Bachelor's of Music, Minor in History