NitinD

Hi @GlassSculpture, Although I am not an expert and I am myself applying for Fall'21 MS in CS.... I can say that you have great scores and GPA. If you are looking for a coursework (non thesis) program then the universities expect you to have good/decent projects... I think USC and UCSD both focus more on grades and scores so it would be great for you.. Wish you best of luck

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