UG Institution: NITK Surathkal
Degree: Electrical and Electronics Engineering
cGPA: 8.01/10
GRE: 320 (Q:165, V:155, AWA:5)
TOEFL: 116 -Expires this October, will need to rewrite.
Will have 2 years work experience in Data Analysis/Machine Learning field by next June.
Looking to apply to MS in CS/Data Science with a specialization in AI/Machine Learning
Professional experience:
-End-to-end Sentiment Analysis using Python to assess customer satisfaction, with Oracle database back-end, and front-end reporting on Tableau
-Worked in a team to build a chatbot to automate chats.
-Gained considerable exposure to SQL, Python, and its major libraries.
Relevant Interships/Projects:
-Study of various feature extraction methods for offline Optical Character Recognition, followed by Supervised Classification, done on MATLAB (Indian Institute of Science)
-Gesture Recognition using Neural Networks (NITK Surathkal)
-Control of Home Appliances(Fans/Lights) using Arduino Microcontroller and front-end Android Application, to communicate through the web.
Extracurricular:
IEEE member of college chapter.
Vice-head of Gaming committee, College fest
Currently undergoing 'Design and Analysis of Algorithms' course on NPTEL,
will have a certificate by October (don't know whether this will be useful or not)
I would be grateful if anyone could help me decide on Safe/Mod/Ambi Universities for Fall 2017 (seeing that I want to switch branch to CS/Data Science).
Currently, I have looked at the following programs which have good courses in Machine Learning/Data Science:
NYU- Data Science
Uni of Southern California- MS in CS/Data Science Specialization
UPenn
Columbia -Data Science
Harvard - Computational Science and Engg( don't know how good this is)
University of Toronto (CS)
University of British Columbia (CS)
UC San Diego
NCSU - Analytics
Uni. of Florida
Northwestern University
Boston University
Please advise on my chances on getting into the above universities and also kindly suggest any universities that would be good for my profile.
Thank you.
Degree: Electrical and Electronics Engineering
cGPA: 8.01/10
GRE: 320 (Q:165, V:155, AWA:5)
TOEFL: 116 -Expires this October, will need to rewrite.
Will have 2 years work experience in Data Analysis/Machine Learning field by next June.
Looking to apply to MS in CS/Data Science with a specialization in AI/Machine Learning
Professional experience:
-End-to-end Sentiment Analysis using Python to assess customer satisfaction, with Oracle database back-end, and front-end reporting on Tableau
-Worked in a team to build a chatbot to automate chats.
-Gained considerable exposure to SQL, Python, and its major libraries.
Relevant Interships/Projects:
-Study of various feature extraction methods for offline Optical Character Recognition, followed by Supervised Classification, done on MATLAB (Indian Institute of Science)
-Gesture Recognition using Neural Networks (NITK Surathkal)
-Control of Home Appliances(Fans/Lights) using Arduino Microcontroller and front-end Android Application, to communicate through the web.
Extracurricular:
IEEE member of college chapter.
Vice-head of Gaming committee, College fest
Currently undergoing 'Design and Analysis of Algorithms' course on NPTEL,
will have a certificate by October (don't know whether this will be useful or not)
I would be grateful if anyone could help me decide on Safe/Mod/Ambi Universities for Fall 2017 (seeing that I want to switch branch to CS/Data Science).
Currently, I have looked at the following programs which have good courses in Machine Learning/Data Science:
NYU- Data Science
Uni of Southern California- MS in CS/Data Science Specialization
UPenn
Columbia -Data Science
Harvard - Computational Science and Engg( don't know how good this is)
University of Toronto (CS)
University of British Columbia (CS)
UC San Diego
NCSU - Analytics
Uni. of Florida
Northwestern University
Boston University
Please advise on my chances on getting into the above universities and also kindly suggest any universities that would be good for my profile.
Thank you.