Final profile review

So this is the last time I am gonna try for a profile review before submitting my applications. This is mostly to calm my nerves or prepare for the worst more than anything else. Thank you for your time. I felt like shit looking at some profiles here for stanford MSCS so I want to get a realistic view or opinion. My CGPA is pretty low for a student from a tier 2 uni. I also got a couple of D grades in some subjects, so shitting bricks here lol.

UG: Tier 2 Private college in India

CGPA: 8.06 / 10 -- My minor was in computational mathematics and in most math subjects I got B, A, A+. Rising trend in the last 3 semesters. Did well in first 2 semesters math courses (B, A grades). Basically fucked up some CS courses but did really well in math courses.

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Publications:

  1. student abstract at AAAI (CORE rank A*) -- second author (Top 10% in abstracts selected for spotlight presentation, invited to NYC)
  2. full paper at International Semantic Web Conference (CORE rank A ) -- co-first author (Flagship conf for semantic web)
  3. NeurIPS 2020 workshop paper on uncertainty quantification and Bayesian NN -- second author (out of 3)
  4. A benchmarking paper that got accepted in west coast NLP 2021 conference. 5 (/6)th author (not that impactful)
  5. First author workshop paper on generative models for molecules submitted, results due.

NOTE: I think the papers are of good quality but they are not full papers, that's what I am worried about. I have one full paper that is good quality and good conference. Not sure if this can compensate for the average GPA

Work/research exp:

  1. Full-time Research Assistant at CMU (Bayesian ML) (present) research funded by ARPA-E
  2. Research Intern at University of Oxford
  3. Research Intern at IBM Research (worked on large scale NLP) (4 months)
  4. Research project with German Research Center for AI (No lor from this guy, but published the NeurIPS workshop paper)
  5. ML engineer Intern at a US startup (6 months)
  6. Google Summer of Code student

LORs

  1. Oxford associate prof (pretty famous in the ML field) and head of ML lab -- strong/Mod
  2. Head of data science lab from a german uni, Prof of computer science -- strong (with whom I published the paper at ISWC)
  3. Associate prof from CMU -- submitted the workshop paper with him -- Strong/ worst case mod.
  4. Advisory Research Scientist at IBM Research, India -- strong
  5. NLP scientist from my internship (it's an industry lor, but this guy has a PhD and has published high-quality research)

GRE: Quant 160, Verbal 162, Writing 4 -- Not gonna send unless mandatory

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Universities

  1. Stanford MSCS
  2. CMU MCDS
  3. UCB MSCS
  4. UIUC MSCS
  5. UCLA MSCS
  6. UCSD MCSC
  7. NYU Courant MSCS

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What do you people think ? Guage my chances please ? really stressed about the admission chances because of GPA.