MFE program profile evaluation

[mr_brain]

Education
1. completed undergraduate from one of the Top 3 College of India according to QS ranking.
2. Majors in Computer Science (GPA: 6.96/10 ~ 3/4)

Courses in Undergraduate:
Maths: Linear Algebra, Differential Equations, Calculus, Optimisation*
Computer: Most of the languages and other core CS courses
Probability and Stats: Data Analysis and Interpretation
Machine Leaning: Artificial Intelligence and Machine Learning, Deep Learning for Natural Language Processing, Organization of Web Information

Note: Apart from ML and optimisation courses, most of the above courses have 6 or 7 grade out of 10.

Work Experience:
1. Software Developer (NBFC) 1 year 3 months
2. Startup: 1/2 year
3. By the application time I'll be having 2.5-3 yrs of experience
4. additional 2 internships in software domain only

GRE:
safe to assume 169-170Q and 160+ in Verbal.

I wanted to know about my chances in top 10 MFE programs as I have low confidence due to poor grades in Undergraduate. would appreciate feedback on what things I can do to improve my chances for the same

 

[zephyrus]

Do you have any finance work experience (non SDE) or coursework? probably one area you can look into I think

 

[MikeLawrence]

You are out of undergrad, and will be well into your career when you apply, so work experience matters more than undergrad GPA now. You, as a candidate, are a lot different than you were when you graduated. Not totally sure how you will leverage your work experience into proving qualification, that bit is up to you as you know much more about what you have been doing.

That said, you will need to show that you have that stuff down pat. Your pre-reqs are good, although you might need to add in some mathematical statistics. Not sure what 'data analysis and interpretation' entailed.

 

[mr_brain]

Do you have any finance work experience (non SDE) or coursework? probably one area you can look into I think

Not yet. But I'll try to add things into this. Thanks for the feedback.

 

[mr_brain]

You are out of undergrad, and will be well into your career when you apply, so work experience matters more than undergrad GPA now. You, as a candidate, are a lot different than you were when you graduated. Not totally sure how you will leverage your work experience into proving qualification, that bit is up to you as you know much more about what you have been doing.

That said, you will need to show that you have that stuff down pat. Your pre-reqs are good, although you might need to add in some mathematical statistics. Not sure what 'data analysis and interpretation' entailed.

Thanks for kind feedback.
Data analysis and interpretation is more like stat 101 with topics like
Descriptive statistics
Discrete and continuous probability
Random variables and expectation
Special random variables: Gaussian, Bernoulli, Beta, Gamma, Uniform, Poisson, Exponential, Binomial, etc.
Hypothesis testing
Parameter estimation
Regression
Probability density estimation

 

[MikeLawrence]

Ok, cool, you're pretty well set up then. You should look into moment generating functions, joint distributions, functions of random variables and some of that stuff too if it wasn't covered.