"MFE program profile evaluation" master thread

Could someone please help evaluate my profile:

Nationality: Indian
Age: 30
Undergrad: Bachelors in Electronics Engineering) - CGPA - 7.85/10 (Unknown college)
~ 2 years of IT work Experience
Later, MBA from top 10 Indian institute
~ 2 yrs work experience in one of the worlds largest fund in markets advisory team
~2 yrs work experience in Risk management in a global investment bank

Certified FRM and CFA Level II cleared
GMAT - Targeting 720 - 730

Looking to get into:
M.Fin MIT Sloan
MFE Columbia
CMU MSCF
Cornell MFE
NYU Financial Math
Masters in Finance and Economics at LSE
Masters in Finance at Imperial College, London.

Given all this, what are my likelihood of making it? Desperately require honest advise. Many thanks !!
Thanks for the feedback.
 
Could someone please help evaluate my profile:

Nationality: Indian
Age: 30
Undergrad: Bachelors in Electronics Engineering) - CGPA - 7.85/10 (Unknown college)
~ 2 years of IT work Experience
Later, MBA from top 10 Indian institute
~ 2 yrs work experience in one of the worlds largest fund in markets advisory team
~2 yrs work experience in Risk management in a global investment bank

Certified FRM and CFA Level II cleared
GMAT - Targeting 720 - 730

Looking to get into:
M.Fin MIT Sloan
MFE Columbia
CMU MSCF
Cornell MFE
NYU Financial Math
Masters in Finance and Economics at LSE
Masters in Finance at Imperial College, London.

Given all this, what are my likelihood of making it? Desperately require honest advise. Many thanks !!
Thanks for the feedback.
I think you might have some difficulty with the MIT program, mostly because they target their program towards people who are just starting their career - you're 30, have an MBA and are already working in finance so explaining what you'll get out of the program is going to be challenging (this probably applies to most of the programs you picked)
 
Hi! Could someone evaluate my profile please?

  • Indian, Age 20.
  • Undergrad (in progress): NTU, Singapore. Economics with minors in Business and Computing & Data Analysis. GPA 4.86/5 (3.91 on a 4-point scale).
  • GRE: yet to take. Target 320+.
  • Work ex:
    • Internship at big fund management company, India. Investment intern (mainly coding on Python).
    • Incoming internship at data science start-up in the FMCG sector. Data analysis, engineering and visualisation. Model deployment, AWS, NoSQL.
  • Coursework:
    • Math: basics in Linear Algebra, Differential Calculus, Integral Calculus, Differential Equations, Matrix Algebra; intermediate-advanced Probability and Statistics (probability distributions, conditional densities, joint densities, etc); intermediate-advanced Econometrics, Econometric Modelling and Forecasting (in R); basics in Mathematical Finance (stochastic processes, Itô's Lemma)
    • Finance: specialising in Finance; Corporate Finance, Mathematical Finance, Business Finance, Money & Banking, Financial Economics
    • Programming: intermediate Python (computational thinking, data analysis), basic C/C++ (data structures), [Excel/VBA], intermediate R (econometric modelling and forecasting)
  • Research projects:
    • Studying LinkedIn Profile Data. Data science project in Python.
    • Final Year Project: experimental economics project on studying dark pools.

Applying to the top programmes in the US, and the NTU programme.
 
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