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Fall 2018 | MS | CS | G.R.E 310 (Q-160/V-150) |GPA 7.45 |TOEFL 100
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boomer08 Offline
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Post: #1
Fall 2018 | MS | CS | G.R.E 310 (Q-160/V-150) |GPA 7.45 |TOEFL 100

Hi All,

I will be applying for MS in CS ( Specialization: Machine Learning/ AI).

My profile is :

GRE: 310(Q:160, V:150, AWA: 4)

TOEFL: 100
CGPA: 7.45

LORs:
2 Strong LOR's from College Professors and 1 Strong LOR from Manager

Internship: 2-month internship at HP, 6 months at a Startup

Projects: 6 Major and Minor projects on Machine learning, Big Data, Computer Vision etc.

Work Experience: 1.5 years ( at the time of applying)

Please help me in categorizing following universities in safe, mod and ambitious. Do suggest universities which I may have missed or which should not be in the list.

(This post was last modified: 09-10-2017 08:40 PM by boomer08.)
09-07-2017 03:25 AM
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Edulix_Editor Offline
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Post: #2
RE: Fall 2018 | MS | CS | G.R.E 332 (Q-170/V-162) |GPA 8.45 |TOEFL 109| Thapar University

Excellent GRE!

Ranked:
UCLA
UCSD
GT
Austin
UMN

Moderate
UCI
TAMU
STONY
USC
UMass
NCSU
Virginia Tech

Safe
RIT
Syracuse
UMBC

cheers,

EE


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09-07-2017 12:01 PM
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boomer08 Offline
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Post: #3
RE: Fall 2018 | MS | CS | G.R.E 332 (Q-170/V-162) |GPA 8.45 |TOEFL 109| Thapar University

(09-07-2017 12:01 PM)Edulix_Editor Wrote:  Excellent GRE!

Ranked:
UCLA
UCSD
GT
Austin
UMN

Moderate
UCI
TAMU
STONY
USC
UMass
NCSU
Virginia Tech

Safe
RIT
Syracuse
UMBC

cheers,

EE

Thanks for the reply Smile

Tagging seniors:



(This post was last modified: 09-08-2017 04:22 AM by boomer08.)
09-08-2017 04:20 AM
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gurkanwals Offline
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Post: #4
RE: Fall 2018 | MS | CS | G.R.E 332 (Q-170/V-162) |GPA 8.45 |TOEFL 109| Thapar University

Hi All,

I will be applying for MS in CS ( Specialization: Machine Learning/ AI).

My profile is :

GRE: 332(Q:170, V:162, AWA: 4)
GREAT SCORE!
TOEFL: 109
CGPA: 8.45 (Topper's CGPA: 10)

Research Papers:
One paper in Springer and another in Wiley Journal ( Expert System). Both related to Machine Learning.

Link them here if you can.

LORs:
2 Strong LOR's from College Professors and 1 Strong LOR from Manager

Internship: 2-month internship at HP, 6 months at PropTiger.com

Projects: 6 Major and Minor projects on Machine learning, Big Data, Computer Vision etc.
A brief description of relevant projects will be helpful.

Work Experience: 1.5 years ( at the time of applying)
Where? Which position? What sort of work? Which technologies?

Please help me in categorizing following universities in safe, mod and ambitious. Do suggest universities which I may have missed or which should not be in the list.

Please answer the above questions in bold so that I'm able to make an accurate evaluation.


UCLA
UCSD
UCI
TAMU
STONY
USC
UMass
NCSU
Virginia Tech
UMN


Gurkanwal's Infobank
MS in CS [ML/DS] Fall 2017!
UCSD| UMass | UPenn | UMN | NCSU | CU-Boulder | UTA | CMU | UCLA | Gatech | U. Waterloo

My own profile evaluation
General Suggestions
+Rep if the post helped!
It's not the size of the dog in the fight, it's the size of the fight in the dog. - Mark Twain
09-08-2017 04:29 AM
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boomer08 Offline
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Post: #5
RE: Fall 2018 | MS | CS | G.R.E 332 (Q-170/V-162) |GPA 8.45 |TOEFL 109| Thapar University

(09-08-2017 04:29 AM)gurkanwals Wrote:  Hi All,

I will be applying for MS in CS ( Specialization: Machine Learning/ AI).

My profile is :

GRE: 332(Q:170, V:162, AWA: 4)
GREAT SCORE!
TOEFL: 109
CGPA: 8.45 (Topper's CGPA: 10)

Research Papers:
One paper in Springer and another in Wiley Journal ( Expert System). Both related to Machine Learning.

Link them here if you can.
https://link.springer.com/chapter/10.100...-0135-2_56
http://onlinelibrary.wiley.com/doi/10.11...7/abstract

LORs:
2 Strong LOR's from College Professors and 1 Strong LOR from Manager

Internship: 2-month internship at HP, 6 months at PropTiger.com

Projects: 6 Major and Minor projects on Machine learning, Big Data, Computer Vision etc.
A brief description of relevant projects will be helpful.
Hostel Allotment Automation
Disaster Prediction System

Work Experience: 1.5 years ( at the time of applying)
Where? Which position? What sort of work? Which technologies?
1. 6 Months Internship at Proptiger.com
2. 1 Year at Fortune 500 company (Associate Developer)

Please help me in categorizing following universities in safe, mod and ambitious. Do suggest universities which I may have missed or which should not be on the list.

UCLA
UCSD
UCI
TAMU
STONY
USC
UMass
NCSU
Virginia Tech
UMN

09-09-2017 02:27 AM
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Chirantar Offline
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Posts: 107
Joined: Jan 2016
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Post: #6
RE: Fall 2018 | MS | CS | G.R.E 332 (Q-170/V-162) |GPA 8.45 |TOEFL 109| Thapar University

(09-09-2017 02:27 AM)boomer08 Wrote:  
(09-08-2017 04:29 AM)gurkanwals Wrote:  Hi All,

I will be applying for MS in CS ( Specialization: Machine Learning/ AI).

My profile is :

GRE: 332(Q:170, V:162, AWA: 4)
GREAT SCORE!
TOEFL: 109
CGPA: 8.45 (Topper's CGPA: 10)

Research Papers:
One paper in Springer and another in Wiley Journal ( Expert System). Both related to Machine Learning.

Link them here if you can.
https://link.springer.com/chapter/10.100...-0135-2_56
http://onlinelibrary.wiley.com/doi/10.11...7/abstract

LORs:
2 Strong LOR's from College Professors and 1 Strong LOR from Manager

Internship: 2-month internship at HP, 6 months at PropTiger.com

Projects: 6 Major and Minor projects on Machine learning, Big Data, Computer Vision etc.
A brief description of relevant projects will be helpful.
Hostel Allotment Automation
Disaster Prediction System

Work Experience: 1.5 years ( at the time of applying)
Where? Which position? What sort of work? Which technologies?
1. 6 Months Internship at Proptiger.com
2. 1 Year at Fortune 500 company (Associate Developer)

Please help me in categorizing following universities in safe, mod and ambitious. Do suggest universities which I may have missed or which should not be on the list.

UCLA
UCSD
UCI
TAMU
STONY
USC
UMass
NCSU
Virginia Tech
UMN

Great GRE score and a nice CGPA.

UCLA Ambitious( Lots of cs applications every year highly competitive school)
UCSD Ambitiously Moderate
UCI Moderately Ambitious
TAMU Moderate
STONY Moderate
USC Moderate
UMass Safe for coursework program and Ambitious for thesis
NCSU Safe
Virginia Tech Moderately Ambitious
UMN Moderate


Infobank
TUM | TUB | Chalmers | KTH | Western Ontario
Destination: TUM
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if my post helps
09-10-2017 05:04 PM
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