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FALL 2018 | MS | DS/CS/MIS | GRE: 311 (Q164,V147), AWA: 4.5 | TOEFL: 106 | UG: 66.9%
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prateektyagi Offline
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prateektyagi Offline
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FALL 2018 | MS | DS/CS/MIS | GRE: 311 (Q164,V147), AWA: 4.5 | TOEFL: 106 | UG: 66.9%
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Hi Team,

I graduated in Information Technology with 66.91% in 2014. I'm currently working in UnitedHealth Group as Software Developer since Feb '15. So I have around 2.5 years of experience. I'm looking forward to apply for the fall '18 session. I'm interested in Data Science (DS), Computer Science with Data Science specialization (CS in DS) or MIS (another interest of mine and a safer bet to get an admit).

My profile:

* GRE: 311 (Q 164, V 147, AWA 4.5)
* TOEFL: 106 (R 26, L 28, S 23, W 29)
* UG %: 66.91%
* Work experience of around 2.5 years as software developer in UHG where I worked on an application and did its enhancement work. Later I got an opportunity to work in R by doing data manipulation and visualization based on the data from same project in order to improve the overall project performance by analyzing the performance data and proposing optimal solutions.
* Completed online trainings in R & Tableau and classroom trainings in Java & C++ with certifications.
* Also worked in projects at school and college:
- Emulated Pacman game in C++
- Developed an application in Java to implement steganography and also prepared an algorithm to encrypt it using biometrics
- Database project for replenishment of products at a departmental store by analyzing the correlation between certain products.

Hence, I have good command in coding and algorithm in various languages and currently as I'm working in R, at an intermediate level though, but I am really intrigued by the idea of what we can do with that much amount of data and how we can analyze it based on different trends and estabilish patterns to improve performance.

I feel that I'll be able to write a good SOP and should get good LORs too based on my performance in my work.

However, I've been told that for MS in DS, I need to have an extensive work experience and knowledge in Data Science which I think I may lack. So it might be hard to get an admit for MS in DS. Although I'm doing more advanced courses of R to help me develop a better understanding of the language. Still, DS being a tough nut for me to crack based on my profile, I have decided to apply in Computer Science with Data Science specialization too in some universities so that I can have a better chance of getting an admit. Also, just to be on the safer side to get an admit, I have decided to apply in MIS too in couple of universities.

I feel from past admit trends that chances of getting an admit are in the following order:

DS < CS < MIS

Hence, Im trying to play around all three so that I can try to get the specialization that Im looking for without putting my chances at risk of not getting an admit at all.

I'm looking to apply in 7/8 universities. After some research, I've chosen the below Universities in bold (although I have mentioned additional options too):

Ambitious
---------
Indiana University Bloomington DS

University of Minnesota, Twin Cities DS
North Carolina State University CS
Texas A&M University MIS

Moderate
--------

University of San Francisco DS
Northeastern University DS
University of Southern California CS
University of Colorado - Boulder CS
Arizona State University CS
Iowa State University CS

Safe
----
Illinois Institute of Technology DS
University of Texas - Dallas CS
Georgia State University MIS


My Edulix Infobank - http://edulix.com/unisearch/user.php?uid=335731

Please evaluate my profile. I would be grateful if you could help me suggest which universities I should be applying in where I might have the best chance based on my profile. Please let me know which universities are incorrectly categorized, what all I got wrong and help me update them. Feel free to add or remove any university according to you. Thanks!

Prateek Tyagi
MS in DS/CS/MIS | Fall '18
(This post was last modified: 07-19-2017 01:52 PM by prateektyagi.)
07-14-2017 12:59 AM
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FALL 2018 | MS | DS/CS/MIS | GRE: 311 (Q164,V147), AWA: 4.5 | TOEFL: 106 | UG: 66.9% - prateektyagi - 07-14-2017 12:59 AM

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