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Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111
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blaze123 Offline
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Post: #1
Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111

Hello Seniors

I would be very grateful if you could help me in shortlisting universities for MS in CS with specialization in Machine Learning/AI.

# Scores
GRE: 327 (Q: 170 V: 157 AWA: 3.5)
TOEFL: 111
CGPA: 7.8 (70%) (Topper’s is 81%) in B.Tech Electronics and Instrumentation from YMCA, Faridabad (Govt. Engineering College, ranked #2 in Haryana) (Last two-year average CGPA is 9.0 and topped the class in two semesters)

# Internships
1. Samsung Research Institute [6 months]
- Hired through college as Software Engineer Intern
- Was responsible for automated testing through Linux and Python scripting
- Got converted to full-time

2. CMC Limited (A subsidiary of Tata Consultancy Services) [2 months]
- Made projects using Embedded C on PIC microcontroller such as vehicle tracking system, home security automation, and line follower robot

3. Escorts Limited (A leading manufacturer of farming tractors) [6 months]
- Part of the team responsible for plant automation using PLC/SCADA

# No papers/publications

# Job experience
1. Samsung Research Institute as a Software Engineer [6 months as of now apart from the internship]
- Image processing project using OpenCV libraries
- Development of features of a Samsung product
- Project related to memory optimization

# Self-projects (All in python)
- Project on Predicting Housing prices using Random forests
- Project on Digit image classification with CNNs
- Project on Movies recommender system using collaborative filtering algorithm
- Worked on various datasets and small projects related to data science/ML


# MOOCs from Coursera with verified certificates
- Machine Learning by Andrew Ng (Stanford University)
- Introduction to Data Science in Python (University of Michigan)
- Applied Plotting, Charting & Data Representation in Python (University of Michigan)
- Applied Machine Learning in Python (University of Michigan)
- Neural Networks and Deep Learning by Andrew Ng (Latest course)
- R programming (Johns Hopkins University)

# Recommendations
- From 2 Chief Software Engineers at my company. One of the above is having lots of patents to his name. [Recommendation level: Very strong]
- Assistant Professor at my college [Recommendation level: Strong]

# Co-curricular activities
- Secretary, music club of my college
- Event Head, electronics club of my college
- Member of Emergency Response Team at my company
- Taught govt. school students on behalf of the Adopt a Village program at my company

#UniSearch Profile -
http://www.edulix.com/unisearch/user.php?uid=336880

%==============================================================================%​

I am looking for universities having tuition fees <=50 lakhs for whole course + living.
As I want to do research in ML/AI/Deep Learning domains, please suggest universities according to that.
Here is a list I have made by going through all the courses offered pertaining to my desired domain:


Georgia Institute of Technology
University of California - Los Angeles
University of California - San Diego
University of Massachusetts - Amherst
University of Wisconsin–Madison
University of Minnesota, Twin Cities
Texas A & M University
New York University - Courant
Ohio State University
North Carolina State University
Virginia Tech
Purdue University - West Lafayette
Stony Brook University - SUNY
Rutgers University
Arizona State University
University at Buffalo - SUNY
University of Colorado - Boulder
University of Utah

I will apply to 10-12 universities. I want to pursue a job in Machine Learning domain after doing my MS.

I couldn't find good courses in ML/AI in UC-Irvine and UC-SB. Correct me if I am wrong.

Feel free to suggest more universities in Safe, Moderate and Ambitious categories in ML/AI domain.

Thanks a lot!!!!

(This post was last modified: 09-15-2017 11:10 PM by blaze123.)
09-13-2017 11:23 PM
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Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111 - blaze123 - 09-13-2017 11:23 PM

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