Hello guys!
I graduated in Computer Science from PEC, Chandigarh with 8.61 GPA in may'16 . I'm looking forward to apply for the fall 17 session in the states. I'm interested in Machine Leaning/Data Science (ML/DS). So either I'm gonna apply for CS with a specialization in ML/DS or I'll apply directly in these specific programs such as MS in Machine Learning or MS in Computational Data Science.
Here's my profile:
* GRE: 326 (Q:170, V:156, AWA:3.5)
* TOEFL: 114 (R:30, L:29, S:27, W:28)
* GPA: 8.61/10
* 1 Industrial Internship (6 months) at Cvent, Gurgaon as a Software Developer. Most of the work was in Java and C#.
* 1 Research Internship at IIT Ropar in Dec'15 (6 weeks). Work was in my field of Interest (ML). Used Matlab and Python extensively.
* 1 International Research paper (out of my work at IIT Ropar) has been accepted and published at IJCAI-16. It is considered to be one of the best Artificial Intelligence conference worldwide. However, I'm the third and the last author of the selected paper. I have no other selected publications as of now and won't be able to do so now coz of lack of time.
Link to published paper: http://www.ijcai.org/Proceedings/16/Papers/291.pdf
* Lots of completed relevant online courses (Stanford's ML course, UC Berkeley's AI course, UCSD's Big Data course and some python/R trainings too)
* Lots of completed relevant projects too.
* I've started working as a software developer in a well renowned Tech firm in India from June'16. So, I'll have 12 months work ex by fall'17. My work is completely relevant to my MS goals: I'm working on Big data tools such as Hive, Spark, Pig and also employing ML. Yeah I know I'm lucky.
I've followed fall'16 admissions closely and am a bit scared concerning this year's results. Even people applying to 10+ unis have got just 1-2 admits.
After a lot of research, I've chosen the below Universities:
1. CMU - CS/CDS/DS (not sure if I should apply to all three courses or which one to choose, need suggestions.)
2. UT Austin, UCB- Too acad centric as far as I have come to know, will love to hear more from seniors on this front if I actually have a shot at these or not.
3. UCLA, UCSD - These are main targets, correct me if I should be heading elsewhere
4. Gatech
5. UMass - really low intake, want to know if it's worth a shot
6. USC
7. NCSU
8. NEU
9. SUNY Buffalo
I need to cut down to total of 11-13 applications (I may apply to multiple courses in the same uni, for example: CMU has CS/DS/ML). Also, I need to add a few safe ones. I've gone way too ambi with this list I suppose.
Here is my LinkedIn profile. It has all the information regarding projects, papers, online courses, extra-curriculars and other stuff updated.
Please evaluate my profile. I would be grateful if you could shortlist selected Uni's along with reasons. If you want to suggest other unis too, please do so.
I graduated in Computer Science from PEC, Chandigarh with 8.61 GPA in may'16 . I'm looking forward to apply for the fall 17 session in the states. I'm interested in Machine Leaning/Data Science (ML/DS). So either I'm gonna apply for CS with a specialization in ML/DS or I'll apply directly in these specific programs such as MS in Machine Learning or MS in Computational Data Science.
Here's my profile:
* GRE: 326 (Q:170, V:156, AWA:3.5)
* TOEFL: 114 (R:30, L:29, S:27, W:28)
* GPA: 8.61/10
* 1 Industrial Internship (6 months) at Cvent, Gurgaon as a Software Developer. Most of the work was in Java and C#.
* 1 Research Internship at IIT Ropar in Dec'15 (6 weeks). Work was in my field of Interest (ML). Used Matlab and Python extensively.
* 1 International Research paper (out of my work at IIT Ropar) has been accepted and published at IJCAI-16. It is considered to be one of the best Artificial Intelligence conference worldwide. However, I'm the third and the last author of the selected paper. I have no other selected publications as of now and won't be able to do so now coz of lack of time.
Link to published paper: http://www.ijcai.org/Proceedings/16/Papers/291.pdf
* Lots of completed relevant online courses (Stanford's ML course, UC Berkeley's AI course, UCSD's Big Data course and some python/R trainings too)
* Lots of completed relevant projects too.
* I've started working as a software developer in a well renowned Tech firm in India from June'16. So, I'll have 12 months work ex by fall'17. My work is completely relevant to my MS goals: I'm working on Big data tools such as Hive, Spark, Pig and also employing ML. Yeah I know I'm lucky.
I've followed fall'16 admissions closely and am a bit scared concerning this year's results. Even people applying to 10+ unis have got just 1-2 admits.
After a lot of research, I've chosen the below Universities:
1. CMU - CS/CDS/DS (not sure if I should apply to all three courses or which one to choose, need suggestions.)
2. UT Austin, UCB- Too acad centric as far as I have come to know, will love to hear more from seniors on this front if I actually have a shot at these or not.
3. UCLA, UCSD - These are main targets, correct me if I should be heading elsewhere
4. Gatech
5. UMass - really low intake, want to know if it's worth a shot
6. USC
7. NCSU
8. NEU
9. SUNY Buffalo
I need to cut down to total of 11-13 applications (I may apply to multiple courses in the same uni, for example: CMU has CS/DS/ML). Also, I need to add a few safe ones. I've gone way too ambi with this list I suppose.
Here is my LinkedIn profile. It has all the information regarding projects, papers, online courses, extra-curriculars and other stuff updated.
Please evaluate my profile. I would be grateful if you could shortlist selected Uni's along with reasons. If you want to suggest other unis too, please do so.