Profile Evaluation for Masters in CS

[NitinD]

Hello everyone, 

I am aiming for my masters in Fall'21. Can someone please evaluate my profile and help me understand where I can improve to build a stronger application. Also, it would be really helpful if some one can tell me if I have any chance of getting an admit in the below mentioned universities.. 

Universities list:

• CMU, Masters in Computer Vision
• UCSD, MSCS
• UCLA, MSCS
• Waterloo, CS
• UBC, CS 
• Georgia Tech, CS
• UC Irvine

My profile details are given below: 

Undergraduate: One of the top-10 private university from India in Computer Science

Undegrad GPA: 9/10

GRE: 164 Q  153 V  4 AWA

LOR's: 2 strong LORs, 3rd one is not as great as the first 2

Projects: Have a few strong projects in the field of Computer Vision and Machine Learning. 

Internships: 2 internships from good companies in Machine Learning for a month each

Achievements: Kaggle Competitions Expert and Kaggle Notebooks Master, have won a few hackathons

Research: 2 projects in total. (1 Major Project another personal project under professor)

 

Links that can give more details about me: 

My portfolio: https://nd7.me/

My resume: https://drive.google.com/file/d/1w6I6fCkWTpuumVoiz3_Z8apsoneqHDkv/view

My kaggle: https://www.kaggle.com/nitindatta

My Github:  https://github.com/NitinDatta8

Edited September 1, 2020 by NitinD