My undergraduate education is in Chemical Engineering and Mathematics. I've been fortunate to be able to apply my engineering knowledge in a variety of positions and have significant experience in both process optimization and data analysis.
I'm currently enrolled at John's Hopkins University and am pursuing an M.S. in Applied and Computational Mathematics. In my free time, I try to learn as much as I can about other engineering disciplines, computation, and design.
Aspiring Engineer and Developer
My name is Branden Keck. I am a recent graduate of the University of Pittsburgh with a Bachelor of Science degree in Chemical Engineering and a Minor in Mathematics. I currently attend a part-time, online program through Johns Hopkins in which I am working toward a Master of Science degree in Applied and Computational Mathematics. I am extremely interested in continuing my professional career full time in a challenging position that involves engineering, data analysis, and computer programming. If you'd like to talk about anything at all, feel free to email me!
I’m involved with several activities in my spare time. I love to travel, especially to major cities. I'm also a huge fan of music and try to get out to concerts as much as possible! Aside from these things, I like to learn about computers and technology. This first became a major interest of mine in elementary school and quickly became an obsession when I saw the massive need for computing in the workplace through internships and my coursework at Pitt.
If you'd like to contact me for any reason, my social media links can be found below. Or, as previously mentioned, feel free to shoot me an email!
To view my full resume, click here.
(Jan. 2017 - Jan. 2018)
As an undergraduate researcher, I was assigned to a team that was responsible for the statistical modeling of adsorption systems. To perform this task, we used RASPA, a computational chemistry software package written in C. RASPA data outputs were parsed, manipulated, and analyzed using Python/NumPy in a UNIX environment. RASPA simulations were also conducted in a High-Performance Computing Cluster environment, using both Torque and Slurm frameworks throughout the duration of my assignment. Through undergraduate research I was able to gain valuable experience in an academic setting and was able to utilize a combination of engineering, computation, and data analysis skills to contribute to my project.
Process Control Intern
(Jan. 2015 - Aug. 2016)
Independent Development Work
To view older projects, click here.
Listen to This
Application that is currently in development which uses Spotify API. More information soon to come!
TMP Mailboxes Website
This website was developed for a friend's local business. It uses a lot of bootstrap elements as well as css animation. Additionally, jQuery is used to adjust some of the responsive web elements.
This is a Node.js application using Twitter REST APIs to simulate the events of the movie Who Follows using real Twitter profiles.
Morse Code Chatroom
This is a chatroom created with Google's Firebase API. It converts user input into Morse Code before it is sent.