Adam Burkin ‘21
Markets Reporter/ICIS; Principal/Burkin Analytics
Program: MS in Strategic Analytics
In his spare time, Adam enjoys reading, networking, working on a non-profit, dining with friends, walking my dog, going to concerts, and working out (rowing/weight lifting).
Get to know Adam Burkin!
Why did you choose Brandeis GPS?
The Strategic Analytics program curriculum offered much potential for both my career and personal knowledge ambitions.
What inspired you to choose your field of study?
I have worked as an analyst/consultant for most of my career, so I wanted to further my education as it aligned to increasing demands around data analytics in a largely business analytics framework.
How have you enjoyed your experience at Brandeis thus far?
The experience has been very rewarding in terms of the course instructors’ guidance and material presented. Oftentimes instructors were able to establish valuable connections between topics discussed and how they fit into today’s business environment.
What are your hopes and aspirations for the rest of your time at Brandeis?
I hope to learn as much as I can within the scope of the remaining course materials, but more importantly offer something of value back to the program if possible.
What are your plans for after graduation?
After graduation, I plan to apply much of what I have learned in a professional capacity, in addition to analytics freelancing and my non-profit dedicated to analytics education.
What advice would you give to incoming students?
Learn to organize one’s schedule with already established personal commitments as better time management is both a critical part of the program and one of the byproducts of the experience, to which I can definitely attest. Also, explore taking courses that do not completely align to one’s expectations in the program as these are the classes that will help expand one’s purview of the program altogether.
What has been your favorite class to-date?
So hard to choose as really all of them were great to participate in, though I did enjoy the predictive analytics and machine learning course as it was highly applicable to my career.