I’m Naveed! I recieved my PhD in Statistics from Texas A&M University in Spring 2022.
I gained experience teaching and grading at the university, head to the teaching page to look more at that.
My doctoral research as a PhD student involved creating a new two-sample Bayesian Test for checking if two data sets share the same distribution. After this, we generalized applications of the test. We made a faster frequentist analogue of the test, and then applied it to speed up and improve other variable selection. My research interests still in general lie in high-dimensional statistics and methods to speed up computation of other methods. I did collaborative research with the statistics consulting center, the Epidemiology department during the COVID-19 pandemic, and the Agrilife department.
I’ve worked for a variety of companies. I worked as a contractor data scientist for Climate Corportation under Colaberry, a statistician for MAXIS-IT, and was a Research Assistant for General Motors under Texas A&M University. I have experience in dealing with large data (too big to store), spatial data, real time data, and high dimensional data (many variables but few outcomes).
Here’s a table of my skillset:
| Skill | Comfort Level |
|---|---|
| Coding Languages | — |
| Julia | * |
| JAVA | * * |
| C++ | * * * |
| R | * * * |
| Python | * * * |
| SAS | * * |
| Statistical Techniques | — |
| Bayesian Statistics | * * * |
| Machine Learning | * * * |
| Dimension Reduction | * * * |
| Approximate Bayesian Computing | * * * |
| Time-Series | * * |
| Unsupervised Learning | * * |
| Experimental Design | * * |
| Type Setting | — |
| LaTeX | * * |
| Microsoft Word | * * * |
Thanks for coming to my website. Let’s connect!