That's me - or rather a three-dimensional representation of me - in the interactive space above. It was created from data collected with a Windows Kinect and included here via some JavaScript.
I moved to the Washington, DC area in 2006 and have lived in many different places in and around DC since. DC has a large community of great Data Scientists and Tech Developers (see Data Community DC) and there are always opportunities to appease intellectual curiosity.
I am formally trained in Naval Engineering in addition to Applied Statistics. I also have years of experience managing technical projects and am certified as a Project Management Professional (PMP) through PMI.
* Ratings are 1 to 5 (A 1 means something along the lines of only having seen a demo or watched a lecture and
I know the general capabilities. A 5 means that I'm an expert and would feel comfortable teaching others.)
* Ratings are 1 to 5 (A 1 means something along the lines of only having seen a demo or watched a lecture and
I know the general capabilities. A 5 means that I'm an expert and would feel comfortable teaching others.)
Statistics is employed in a large number of diverse fields and I've worked on a diverse set of projects - from ophthalmological drug efficacy to resource-allocation optimization to weight estimating of ships.
Most of my programming experience has involved HTML/CSS, R and RShiny, Python, JavaScript and JQuery, Matlab, SQL, and C++ but I am familiar with many many others including CUDA, PHP, and Java.
Managing a development team and constructing and implementing the tools and procedures that are required takes tenacity, lots of communication, and problem-solving skills. In addition to traditional waterfall management methods, I am experienced with Agile, Lean Six Sixma, and even SAFe.
I am a Project Management Professional (PMP) with over 14 years of experience managing government acquisition projects, leading tech teams, and facilitating proposal development.
I've worked on many ship design and construction programs such as DDG 1000, LCS, FFG(X), and T-AO 205. I've also had the pleasure of working on survivability aspects of oil rigs and spars.
"Internet of Things" (IoT) has become a familiar phrase in multiple industries. I enjoy working with microcontrollers, custom electronics, and sensor data to create "smart" networks and environments.
Made-from-scratch 3D printer
The image above is a screenshot of an Android application (i.e. an *.apk) that I created for Google Cardboard. It is a Proof-of-Concept of an inexpensive interactive 3-D ship virtual immersive environment.
I've created many interactive data visualizations with Excel, R, Python, JavaScript, and others.
A proof-of-concept developed to simulate inertial trim effects on a translationally-restrained ship.
This is a JavaScript and JQuery-based game adapted to include DDG 1000.
Testing a trained deep-learning network (ImageNet) on naval ship images
A RADAR built for a little over $200
This is an interactive webgraph that I created with D3. It can be tailored for many different types of projects. In this case, I was using it to map out different ship-space relationships.
The Sound Lot was an idea I had that could easily provide practice space and equipment storage for musicians on a monthly basis. The containers could be sound proofed and equiped with HVAC and access could be allowed 24/7.
In-Browser Gravitational System Simulation written in R
A sample of a Multivariate Analysis I previously performed in JMP.
This is a work-in-progress that demonstrates the linear algebra behind Artificial Neural Networks.
Celebrate ambiguity with this ambiguous font.
This is a brief that I used when I was teaching a class on creating R packages.
Some Unpublished Papers and Presentations
that I've Written (or Co-Authored):
Using Graph-Theoretic Models to Analyze and Manage Complexity of the Design of Naval Surface Ships
Linear Algebra in Artificial Neural Networks with R (In progress)
Published Papers I've Written (or Co-Authored):
Papers Written By Colleagues and Friends:
Code Snippets:
“It is not the critic who counts; not the man who points out how the strong man stumbles, or where the doer of deeds could have done them better. The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again, because there is no effort without error and shortcoming; but who does actually strive to do the deeds; who knows great enthusiasms, the great devotions; who spends himself in a worthy cause; who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly, so that his place shall never be with those cold and timid souls who neither know victory nor defeat.” Theodore Roosevelt
“Any sufficiently complex system acts as a black box when it becomes easier to experiment with than to understand.” Google Research
Please feel free to connect with me at the following locations.