Hi everyone, I posted this same thread a few weeks ago but didn't get any response. Posting it ag

Hi everyone,
I posted this same thread a few weeks ago but didn't get any response. Posting it again with a hope to get few relevant reviews by you guys.
I'm going to apply for a Masters in Financial Engineering for fall'20. I would highly appreciate if you guys evaluate my profile and give some suggestions for improvement.
1) Undergraduate Degree & CGPA:- Information Technology(2016); 75.5%
2) Work Exp & Internships:- 2 years work exp at a government organization in India as a python developer. 3 Internships in Derivatives Trading and Equity Research.
3) Finance Coursework:- a) Completed "Leading With Finance" from Harvard Business School Online; b) Multiple online courses from Coursera in Financial Market from Coursera with above 90% in all.
4) Math & Statistics Coursework:- Math course for Financial Engineers from the University of California, Berkeley; b) Game theory courses from Coursera with grades; c) Statistics courses from Stanford Online; d) Pursuing Graduate Certification in Quantitative Methods in Finance from Stanford Univerity ( completed the autumn semester with Excellent Grade (A+)
5) Programming: Skilled in Python, R, Matlab, SQL. Pursuing Machine Learning Nanodegree from Udacity.
6) Other Things: a) Incoming Summer School candidate(July-August 2019) at the London School of Economics (LSE) for "Introduction to Financial Mathematics" course; b) Attended AIBC (Asia Investment & Banking conference) at Hong Kong in 2018, and participated in Sales and Trading Competition; c) Silver level candidate on WorldQuant's Websim portal (developing trading strategies).
7) GRE/Toefl:- Yet to give.
Thanks in advance.