Plans for my Portfolio

I had to delay my portfolio considerably since the apartment headache. However now that’s resolved, I do have some concrete plans on what I would like to do until March.

First, I want to finish the project that’s about critiquing a study design and improving it. This is not coding based, but more goes through my thoughts and statistical knowledge. I should be able to finish that at the end of this month. For that project, I will have a nontechnical explanation that is geared more towards tech recruiters. I will also have a technical explanation that’s geared for statisticians, data scientists and the like so that they can assess the level of statistical knowledge I have as well as gaps.

Second, I would like to do a project on health equity using SAS + SQL for February. Since I have a SAS certification, I would like to actually demonstrate that I know SAS. Plus, I know that the health industry leans more on SAS, so I’d like to use SAS to demonstrate my knowledge. That one would have a nontechnical explanation with graphs, a technical explanation with graphs, and also show my code.

By the end of the health equity project, I should know if I’m getting into the PhD program for Quantitative Psychology or not. This will determine what direction I go with future projects.

If I get into the PhD program, I will have my portfolio more academically orientated. I would learn MATLAB and show that off as I know a lot of work done in academic that’s on scientific computing is done via MATLAB. I would mainly learn it so that I can translate from MATLAB to Python or R whenever possible. Additionally, my technical explanations would be more geared to academics rather than those that work in industry. I would also show that I know how to use Zotero and other open source software geared to academics. I would also probably do a mock up of a syllabus and some teaching examples as well.

If I get rejected into the PhD program, I did apply to Georgia Tech’s Online Master’s of Computer Science as a back up. Considering that I’m in their preferred qualifications (mathematics degree with above a 3.0 GPA), I should get in. I would use the 2nd master’s to beef up my computational knowledge as my mathematics degree did not cover much of that. I would also be taking the unusual thesis route for this program, as my first master’s is non-thesis based. Not doing a thesis drastically limited what schools I could apply to because my non-thesis made it seem like I was fleeing rather than taking a slightly less intense route because I was burned out. This is unusual since very few for this program do a thesis route, but it is possible. I would aim to finish this as soon as possible by taking 2 classes during the Fall and Spring and 1 during the summer. Since I have no one to take care of but me, I have a lot of free time on my hands.

If I did the 2nd master’s, I would have my portfolio more industry orientated. I would learn PowerBI, Tableau, and contribute to Github projects. I might also learn Scala, make myself more familiar with how databases work, get more familiar with Excel and Git, and also apply the knowledge I would learn during the master’s to my projects. Additionally, I would work on open source code that is equity based and would work on research papers regarding equity and AI. If I did the 2nd master’s route, I would try one last time with a PhD program after graduating by applying to 5 doctoral programs in Computer Science, 5 programs in Quantitative Psychology, and 1 to 2 Interdisciplinary Studies. I would be connecting and hopefully collaborating with professors ahead of time to increase the chances of getting in. Of course, I would be specifically aiming for professors that work on topics that I am interested in and are interested in taking on new students. If that fails even with getting papers published, connections, and showing dedication, I would not try again for a doctoral program and be content with having 2 master degrees.

In either case, I would learn Python and showcase my skills in SQL, SAS, Python and R. I am fairly confident that I can get into equity based data science given that I have a bachelor’s in mathematics, I have a master’s in quantitative psychology, I already know how to program in R, and I have a certificate showing that I know the basics of SAS. It’s now a matter of showcasing the skills I already know, learning new ones, and showing that I’m someone who is knowledgeable, eager to learn, understands diversity, equity, and inclusion.

Originally made this post on Medium here.

One response to “Plans for my Portfolio”

  1. For your first project, check out Karl Zelik’s posts on LinkedIn. His ideas might help you edit.

    Liked by 1 person

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