agreeable_swimmer wrote:
Profile Evaluation for HEC-Yale M2M Program
Background:
Nationality: Indian
Current Year: 4rd Year of B.Tech in Computer Science and Data Science, Honors in Computational Finance
University: Mumbai University
Academic Achievements:
Current GPA: 3.30
GRE Score: 311 (Planning to retake for improvement)
Research and Publications:
Applied for a patent in South Africa
Two research papers published in Scopus-indexed journals
Statistics project under a professor at UC Davis
Internship and Work Experience:
Research Intern at TCS-Research for 2 months
Two meaningful internships in Quantitative Finance at startups; 6 months each
Research Assistant in a personal capacity under a statistics professor in UC Davis
Extracurricular Activities:
Founded and led two Data Science committees in college- conducting hackathons, workshops, raising around 5000 dollars, teaching various domains to a group of 60 students.
Actively involved in research and innovation, including patent applications
I am seeking an evaluation of my profile to assess my chances of admission to the HEC-Yale M2M Program.
Also, if there are any programs I should look into and would be a great fit, please let me know!
Your insights and advice would be highly appreciated. Thank you!
👋 Hey
agreeable_swimmer,
I came across your profile evaluation query on the forum and thought I'd reach out to offer some assistance from my own experience.
So here is what I would suggest:
Academic Achievements:The current GPA of 3.3 is good and can help you target some of the good schools out there. Mumbai University is a good brand name as well.
Research and Publications:You've shown strong research capabilities with a patent application and two published papers in Scopus-indexed journals. Your project under a UC Davis professor enhances your profile, emphasising your research aptitude and collaboration skills.
Internship and Work Experience:Your internships, especially in quantitative finance, are highly relevant. TCS is recognized internationally, which lends further weight to your CV. Being a research assistant under a professor at UC Davis brings international exposure, which is a plus point.
Extracurricular Activities:Founding and leading data science committees, conducting hackathons, workshops, and fund-raising activities, are all incredible accomplishments that display leadership, initiative, and passion. They will undoubtedly strengthen your application.
Recommendations for Improvement:📊 GRE Score: As mentioned, try to get your GRE score closer to or above 324. This could significantly strengthen your application given the competitive pool.
🌐 Networking: Connect with current students or alumni of the HEC-Yale M2M program. This will give you insights into the program and can help tailor your essays and applications better.
✍️ Application Essays: Make sure to highlight your unique experiences, quantify your achievements in research and innovation, and your passion for data science and finance. Mention why the M2M program specifically aligns with your future goals.
🤝 Recommendations: Secure strong recommendation letters from your professors and internship supervisors. Given your research experience, a recommendation from the UC Davis professor would be especially valuable.
Target Programs:➡️ Dream: HEC-Yale M2M, Duke Fuqua MMS, LBS Masters in Financial Analysis
➡️ Competitive: ESSEC-Mannheim M2M, UCD Smurfit MSc in Business Analytics
➡️ Safe: ESMT Berlin MSc in Management, ESADE MSc in Business Analytics
Overall, your profile is quite competitive for the HEC-Yale M2M program. With a few enhancements, particularly in your GRE score and application materials, you'll be in a good position to secure a spot.
If you need more help, we'd be happy to set up a
FREE call and give more pointers on how to improve your profile and the right schools you should target.
Or DM for help!
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