Not Your Ordinary Data Scientist
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About Me
Hi, I’m Greg.
I’m a data scientist who excels in analytical problem-solving with a contextual understanding of the big picture. My team leader noted that I “think like a scientist,” which means that I approach problems with curiosity, think systematically, and carefully evaluate potential solutions.
In my work I proactively anticipate and address issues. I can always be trusted to work independently while also thinking collaboratively. In a quarterly evaluation, my supervisor called me an “ideal data scientist.”
I’m a former educator with professional experience as a university instructor and assistant professor, which means that I used to make a living from communicating complex ideas in simple terms. My aggregate rating on student evaluations is 4.8 out of 5; I’m good at what I do!
I have an English minor with an emphasis in creative writing, so I know how to tell engaging stories, whether those stories are told through creative fiction or data science reports. I’ve taught college-level public speaking and am adept at speaking and presenting effectively, including knowing how not to put audiences to sleep with technical information. (Which I know would never happen with an audience as sophisticated as you, right? Hey, are you still there? Hello?)
My communication skills have earned me multiple invitations to present at workshops, training, and knowledge-sharing sessions, as well as team-wide and division-wide notoriety!
I’m a PhD researcher with training in quantitative methods, qualitative methods, and computational methods, which means that I know how to ask questions in a variety of ways and find reliable answers. My area of focus is environmental sustainability, and working towards a more just and sustainable world provides my work with meaning and fuels my passion for what I do. I would love to carry over this environmental focus into data science.
I’m a “Renaissance person” with a varied background and a wide set of skills and interests, which means that I think broadly and can communicate effectively across domains to reach different audiences. I have graduate or undergraduate degrees in computer science, mathematics, systems science, women’s studies, and geography.
Outside of data science, I enjoy playing poker, board games, and sports like basketball and ultimate Frisbee where tallness confers a commanding advantage (I’m 6’4”). I also like to have fun doing what I do!
Here’s a photo of me doing tall person things:
For a resume of sorts, see my Skills and Certifications page.
You can contact me at LinkedIn.
To complement my problem-solving ability as a data scientist, I am also a communicator, a researcher, and an interesting (?) person. Thank you for viewing my portfolio!
Note: The writing and structure of this portfolio is human-generated (by me!) without the use of LLMs or other AI tools. When showcasing my communication skills, it only makes sense if the communication is actually coming from me!