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Fall '18 | MS | CS | GRE 320 (Q-167,V-153) | GPA 9.27/10 | TOEFL 112 | SPIT,Mumbai

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I am in my 7th sem B.Tech from Sardar Patel Institute of Technology (SPIT), Mumbai, (which used to come under MU, but now has autonomy status and is affiliated to MU). This is my profile:

Aiming for MS in CS(ML/AI or Gen), DS (depending on the college) from US.

GRE- 320 (Q-167, V-153, AWA-4) and 320(Q-166, V-154, AWA-4.5)
Which Score would you recommend sending? There is a huge difference in my AWA percentile (60-82), but my earlier attempt has a better Quants score.

TOEFL- 112 (R-29, L-29, S-24, W-30).
GPA - 9.27/10
Topper GPA - 9.80/10
12th - 94.8%
10th - 96.5%
UG stream - Computer Engineering
Papers - 1 (Working, hopefully will get accepted by this month end)
Projects - 1 in image classification ML (completed) , 1 BE Project in ML (ongoing), 1 Project on which paper is being written.
Internship - 1) Startup : Basic AI
2)Tata Technology : Not related to (ML / AI)
3)Barclays : (Tech Analyst) : Not related to (ML / AI)
Social Work : 60 hours

Work experience - None

Georgia Tech - MS in Analytics/ MS in CS with ML/II specialization
UPenn - MS in CIS
UMass Amherst - MS in CS with Data Science specialization
UCSD - MS in CS
UC Irvine - MS in CS
USC - MS in CS
Columbia - MS in Data Science / MS in CS with ML specialisation
CMU - MS in MCDS / MS in ML / CMU-INI (Also, is this worth it?)
NCSU - MS in CS with ML
SUNY - Stony Brook - MS in CS
UCLA - MS in CS
NYU
University of Wisconsin Madison
UCLA
Northeastern University
Colorado Boulder

Your reviews and classifications on these unis would be most welcome. Awaiting your responses

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