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Full Version: FALL 2017 | MS CS | GRE 325 (Q: 170, V: 155): UG 73.5%: TOEFL 105
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Applying for MS in computer Science for Fall 2017 (Machine Learning)

Acads:

I have 73.5% in B.Tech from MAIT (GGSIP University)
My score is around top 25% in class.

Work Experience:

I have 1 year experience with a US based company on Machine Learning (freelance) and 2 summer internships (1 in Computer Vision, 1 in Computer Networks). I will have a really strong LOR from the 1yr freelance work as I worked directly with the CEO and lead a 5 people team too. I have 1 research project that I am going to get published (before the application is sent). I have been working on my own startup which is also in Machine Learning. I am enrolled in Udacity Robotics Nanodegree and am working on various really cool projects in it.

Link to my profile : http://www.edulix.com/unisearch/user.php?uid=329043

Universities that I want to/plan to apply:


1. Ohio State University
2. North Carolina State University
3. Polytechnic University of New York (NYU Tandon)
4. University of Southern California
5. University of Texas, Austin (UTA)
6. TAMU
7. CMU (Specialisation for ML)
8. GaTech
9. University of British Columbia (Canada)
10. McMaster University (Canada)

Which ones are safe, moderate and ambitious? And, please let me know if there any any other good universities that I am missing out to apply for.

Tags to Seniors:

bigkeydi
MSinCS14
pulkitsachdeva
sanju694
samahuj1994
Ancalagon The Black
pocket_aces
Imagery@Apu
The_Observer
surya.40
Great GRE; very good GPA. Overall, a very competitive profile.

Recommended list:

Ranked:
7. CMU (Specialisation for ML)
8. GaTech
5. University of Texas, Austin (UTA)
6. TAMU
9. University of British Columbia (Canada)

Moderate
1. Ohio State University
2. North Carolina State University
Virginia Tech
UMCP


Safe
3. Polytechnic University of New York (NYU Tandon)
4. University of Southern California (yes, safe........)
10. McMaster University (Canada)
RIT


EE
I wouldn't apply to UBC and UT.
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