Fall 2018 | MS | CS | G.R.E 314 (Q-162/V-152) | Percentage 75.1 | G.G.S.I.P.U

Fall 2018 | MS | CS | G.R.E 314 (Q-162/V-152) | Percentage 75.1 | G.G.S.I.P.U

GRE: 314( Quant:162, Verbal: 152 AWA 4.0)
TOEFL: Not given yet ( Expecting 100+)
Work ex: None(Fresher)

Aggregate Percentage:75.13%
Branch: Computer Science (BTech. from a Tier 2 University)

Research:
Author of paper presented at an IEEE International conference and published in IEEE Digital Xplore (Cryptography in cloud computing)

4 Internships:
1. Data Science Intern at a well developed startup(Maroon.ai). Duration : 4 months
2. Software Development trainee at HCL Technologies Ltd. Duration: 2 months
3. Did a 6 month certificate training course on Java (J2SE and J2EE)
4. Web Application Testing trainee at a website development company. Duration: 1 month

Projects:
2 mini projects on Machine Learning,
3 projects in Java on J2EE and JDBC.
Currently working on a major project on neural networks

3 MOOC's on Python and Machine Learning
1 MOOC on Ios app development

Interested in MS CS in US (Specialisation ML/AI)
I need help to ascertain whether my categorization of shortlisted universities is correct or not.

Universities shortlisted:

Ambitious :
UC Davis - MS CS
UC Irvine -MS CS or MS SE
NYU Courant -MSCS
USC(Dream Uni) - MSCS or MS in Data Informatics
UC Santa Barbara MSCS

Moderate :
1. NYU Poly MSCS
2. UC Riverside MSCS

Safe :
UT Dallas or UIC or SJSU(only one)