Profile Evaluation
College: SFIT(MU)
Branch: Computer Science
Degree Goal: MS in Data Science/Machine Learning Or Computer in general.
GRE: 316(Q:162, V:155, AWA:4)
TOEFL: 106
CGPA: 8.6/10
Topper's Percentage: Around 9.1
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Currently working at IBM as Software Engineer (5 months experience at the time of applying).
Internship
1. Sony - Software Engineer - Entity extraction from web page and queries, like names, addresses. It was running inside IE toolbar, Bing index generation, and query processing.
2. Tech Mahindra - Ads ranking: various events prediction, like CTR, negative feedback, conversion, etc. It serves 10000 page views daily.
3. Aditya Birla - find recognize input, find relevant searches, predict which results are most relevant to us, return a ranked output
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Publications:
0(But working under my Machine learning professor for 6 months in the course of publishing under IEEE - hopefully, will be accepted by Nov. And professor is also in the MU ML syllabus committee)
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Other Achievements:
Top 2 percentile in my institution.
Taught python language(by converting java related programs) in my second year during the lab session as the professor told me to do so because I knew very well(should I mention this in my SOP ? )
-----------------------
Recommendation:
HOD
ML professor
Project guide
(All 3 of them have many papers published under IEEE)
------------------------
Univs shortlisted:
CMU
Columbia
Georgia
U Penn
Ohio
Stony Brook
UCI
UCSD
NCSU
USC
NYU
Suny Buffalo
Please classify these universities into safe, moderate and ambitious for my profile. Also, kindly suggest some universities which I could apply to in these 3 categories from these (TAMU, UCLA, Washington, Duke, John Hopkins).
College: SFIT(MU)
Branch: Computer Science
Degree Goal: MS in Data Science/Machine Learning Or Computer in general.
GRE: 316(Q:162, V:155, AWA:4)
TOEFL: 106
CGPA: 8.6/10
Topper's Percentage: Around 9.1
----------------------
Currently working at IBM as Software Engineer (5 months experience at the time of applying).
Internship
1. Sony - Software Engineer - Entity extraction from web page and queries, like names, addresses. It was running inside IE toolbar, Bing index generation, and query processing.
2. Tech Mahindra - Ads ranking: various events prediction, like CTR, negative feedback, conversion, etc. It serves 10000 page views daily.
3. Aditya Birla - find recognize input, find relevant searches, predict which results are most relevant to us, return a ranked output
----------------------
Publications:
0(But working under my Machine learning professor for 6 months in the course of publishing under IEEE - hopefully, will be accepted by Nov. And professor is also in the MU ML syllabus committee)
-----------------------
Other Achievements:
Top 2 percentile in my institution.
Taught python language(by converting java related programs) in my second year during the lab session as the professor told me to do so because I knew very well(should I mention this in my SOP ? )
-----------------------
Recommendation:
HOD
ML professor
Project guide
(All 3 of them have many papers published under IEEE)
------------------------
Univs shortlisted:
CMU
Columbia
Georgia
U Penn
Ohio
Stony Brook
UCI
UCSD
NCSU
USC
NYU
Suny Buffalo
Please classify these universities into safe, moderate and ambitious for my profile. Also, kindly suggest some universities which I could apply to in these 3 categories from these (TAMU, UCLA, Washington, Duke, John Hopkins).