Hi,
Please evaluate my profile:
Applying for an MS in CS with specialization in NLP or Machine Learning
10th : 95.4%
12th : 91%
UG Course : B.Tech. Electronics & Communication
UG CGPA : 8.66. (within top 15 out of 98)
Topper's CGPA: 9.67
College : NIT Durgapur
GRE : 168 Q (95%ile), 161 V (88%ile), (329) AWA 4.0
Professional Experience:
1) Samsung R&D Institute, Bangalore: about 2 years (currently employed)
Multimedia System Programming (framework/kernel)
2) Sapient Gloal Markets: about 5 months
3) IIIT, Hyderabad: 2 months internship at Robotics Research Center (project on robot localization)
Publications:
1) Aspect Based Sentiment Analysis using Local and Non-local Context with Stacked SVM;
paper accepted in the 26th International Conference on Computational Linguistics (COLING-2016); first author
2) Power Efficient IoT Sensor Scheduling using Vanilla Backpropogation Neural Network; published in IEEE; second author
3) Two system description papers in NAACL SemEval-2016 workshop (1. Comlex Word Prediction; 2. Aspect based Sentiment Analysis)
4) One paper not related to machine learning or NLP: on Mobile Display Processing Optimisation; published in IEEE; first author
All papers published while working at Samsung
Relevant Courses:
Undergraduate Studies
Introduction to Computing
Algorithms & Data Structures
Computer Architecture & Organisation
Integral Calculus, Linear Algebra, Numerical Analysis
Multiple Integrals, Higher Engineering Mathematics
Operations Research - Linear Programming, Network Analysis, Game Theory
Probability and Random Signal Theory
Online Courses
Machine Learning, Andrew Ng, Coursera.
Algorithms: Design and Analysis, Tim Roughgarden, Coursera.
Practical Machine Learning, Jeff Leek, Coursera.
Introduction to Computational Thinking and Data Science, MITx: 6.00.2x, John V.
Guttag, edX.
Probabilistic Graphical Models, Daphne Koller, Coursera
Passed with best grades
LORS: 3 from professors in College, 1 from supervisor at Samsung
Good SOP
Universities that I am looking for: (MS thesis/research in all cases)
1) Carnegie Mellon University, MS CS, Machine Learning or LTI
2) University of Massachusetts - Amherst, MS/PhD (combined option) CS
3) University of Southern California, MS CS
4) University of Texas, Dallas, MS CS
5) Ohio State University, MS CS
6) Oregon State University, MS CS
7) Arizona State University, MS CS
If possible, kindly evaluate above seven for PhD CS as well
8) University of Alberta, MS CS
9) University of Toronto, MS CS
10) Simon Fraser University, MS CS
11) University of Waterloo, M. Math
Note: Apart from using UniSearch, I also considered active publication trend in ICML, NIPS, ACL, NAACL, EMNLP and AAAI to prepare the list. Moreover, targeting for MS thesis/research option OR PhD (if possible)
What are my chances in these universities?
What other universities should I target?
Thanks.
Please evaluate my profile:
Applying for an MS in CS with specialization in NLP or Machine Learning
10th : 95.4%
12th : 91%
UG Course : B.Tech. Electronics & Communication
UG CGPA : 8.66. (within top 15 out of 98)
Topper's CGPA: 9.67
College : NIT Durgapur
GRE : 168 Q (95%ile), 161 V (88%ile), (329) AWA 4.0
Professional Experience:
1) Samsung R&D Institute, Bangalore: about 2 years (currently employed)
Multimedia System Programming (framework/kernel)
2) Sapient Gloal Markets: about 5 months
3) IIIT, Hyderabad: 2 months internship at Robotics Research Center (project on robot localization)
Publications:
1) Aspect Based Sentiment Analysis using Local and Non-local Context with Stacked SVM;
paper accepted in the 26th International Conference on Computational Linguistics (COLING-2016); first author
2) Power Efficient IoT Sensor Scheduling using Vanilla Backpropogation Neural Network; published in IEEE; second author
3) Two system description papers in NAACL SemEval-2016 workshop (1. Comlex Word Prediction; 2. Aspect based Sentiment Analysis)
4) One paper not related to machine learning or NLP: on Mobile Display Processing Optimisation; published in IEEE; first author
All papers published while working at Samsung
Relevant Courses:
Undergraduate Studies
Introduction to Computing
Algorithms & Data Structures
Computer Architecture & Organisation
Integral Calculus, Linear Algebra, Numerical Analysis
Multiple Integrals, Higher Engineering Mathematics
Operations Research - Linear Programming, Network Analysis, Game Theory
Probability and Random Signal Theory
Online Courses
Machine Learning, Andrew Ng, Coursera.
Algorithms: Design and Analysis, Tim Roughgarden, Coursera.
Practical Machine Learning, Jeff Leek, Coursera.
Introduction to Computational Thinking and Data Science, MITx: 6.00.2x, John V.
Guttag, edX.
Probabilistic Graphical Models, Daphne Koller, Coursera
Passed with best grades
LORS: 3 from professors in College, 1 from supervisor at Samsung
Good SOP
Universities that I am looking for: (MS thesis/research in all cases)
1) Carnegie Mellon University, MS CS, Machine Learning or LTI
2) University of Massachusetts - Amherst, MS/PhD (combined option) CS
3) University of Southern California, MS CS
4) University of Texas, Dallas, MS CS
5) Ohio State University, MS CS
6) Oregon State University, MS CS
7) Arizona State University, MS CS
If possible, kindly evaluate above seven for PhD CS as well
8) University of Alberta, MS CS
9) University of Toronto, MS CS
10) Simon Fraser University, MS CS
11) University of Waterloo, M. Math
Note: Apart from using UniSearch, I also considered active publication trend in ICML, NIPS, ACL, NAACL, EMNLP and AAAI to prepare the list. Moreover, targeting for MS thesis/research option OR PhD (if possible)
What are my chances in these universities?
What other universities should I target?
Thanks.