Fall 2017 | MS | CS[AI/ML] | 320/340 | 115/120 | 9.013(on 10) | AU

- UG Acads:

• CGPA(Till semester 6) : 9.013/10
• Topper's CGPA : 9.07/10 (I have the highest CGPA among the MS applicants)
• Recipient of merit scholarships for the years 2013-2014 and 2014-2015

- University : SSN College of Engineering, Anna University

- GRE: 320/340

• Verbal: 152/170 Percentile: 54
• Quants: 168/170 Percentile: 95
• AWA: 5.5/6 Percentile: 98
  

- TOEFL: 115/120

• Reading: 28/30
• Listening: 29/30
• Speaking: 28/30
• Writing: 30/30
  

- Dept. applying to: CS

- Specialization: Artificial Intelligence

- Universities shortlisted:

• Carnegie Mellon University - 2074
• University of Texas, Austin - 6882
• Georgia Institute of Technology - 5248
• University of California, Los Angeles - 4837
• University of Illinois, Urbana Champaign - 1836
• University of California, San Diego - 4836
• University of Massachussets Amherst - 3917
• Ohio State University - 1592
• North Carolina State University - 5496
• University of Southern California - 4852
• University of Texas, Dallas - 6897
• Arizona State University - 4007
  

- Related work experience:

• Machine Learning internship at Serendio Inc., ML startup. Duration: 4 months
• Working on a Deep Learning based project, received funding from my college to implement the same
• Active participant in Kaggle, a competitive machine learning platform
• Audited Deep Learning and Machine Learning courses online

- Published papers:

• Matrix sort - A parallelizable sorting algorithm, IJCA(International Journal of Computer Applications) June 2016, Volume 143
  

- Research:

• Developed a novel image compression algorithm at a research internship at IIITD&M, Kanchipuram. Worked under Dr. B. Sivaselvan
• Developed a sorting algorithm and a searching algorithm.

- Additional info:

• Avid coder. Hackerrank best rank : 292(96th percentile)
• Strong foundation in ML and DL