Thank you for sharing your profile @Pusan! Like the clarity of your goals. You’ve got a tech + data + fintech spine with tangible impact (throughput to 700k txns/12 hrs, fraud accuracy up 20> 40%, heavy SQL automation).

CGPA 8.23/10 in Computer applications with good quant coursework (stats, numerical methods, discrete math) is a good foundation.
Thoughtworks + Deloitte in high-volume data/fintech workflows shows evidence of scale, reliability, and product sensibility.
TPM in fintech (N. America) > credible bridge from current role (you already co-drive roadmaps/metrics).

Ross explicitly looks for evidence that you can handle quant rigor instead of a test. Use:
1) Academics: name the quant courses + grades; call out any university merits.
2) Workproof: (a) throughput/scalability work (NACH 700k/12h), (b) modeling uplift 20→40%, (c) systems you built (reconciliation, indexing strategies).
3) Tools/Certs: SQL, Python, Spark, cloud, A/B testing, analytics certs.

Ross itself flags that some recruiters may still screen on test scores; if your target list includes a few firms known to filter early, consider having a plan B (EA/GRE later) even if you apply without a score.

Translate engineering wins into product outcomes: customer problem > metric you owned > trade-offs > shipped result > business value. Your bullets already read like a Product requirements document, keep that energy.

Secure a recommender who can quantify product-adjacent leadership (prioritize a PM or business stakeholder who’s seen you drive roadmap/metrics).

For your Essay story:
Career Aspirations: “Engineer to data product builder to TPM, payments/fraud” with a 2-3 step path and target firms.
Impact/ Making an Impact: Tell a customer-obsessed story (like fraud accuracy uplift or recon automation) with measurable value and cross-functional buy-in.

Consider a mini-course in Digital Product Management or Accounting to de-risk non-finance gaps (helps internship teams trust you with P&L-adjacent decisions).

Map Ross assets you’ll use by name: MAP, FinTech Initiative, Tech Club/FinTech Club, STEM specialization, courses like AI for Business/Marketing Engineering (part of the STEM path).

Questions to personalize your angle further:
1) Which fintech problem excites you most for an internship (payments reliability, fraud/risk, core ledger, credit/underwriting, B2B reconciliations)?
2) Any direct product ownership today (backlog, OKRs, PRDs) you can document, screenshots/redacted PRDs, KPI trees?
3) One stakeholder who would vouch for your product thinking—who is that, and what story should they tell?

We would love to learn more about your extracurricular activities, professional experience, and personal journey so we can offer a more tailored assessment of your profile and evaluate your chances at your target school more accurately. If you'd like, feel free to book a profile evaluation session.

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Cheers!
Shantanu Sharma
Founder and Admissions Consultant, MBA and Beyond

Hello,

You have a strong technical base with Deloitte and ThoughtWorks plus clear fintech achievements, optimizing high-volume transactions, fraud detection, and automation.

A waiver may cover your test score, but top U.S. programs still like to see evidence of academic rigour.

Ross will value your technical PM goal and career story, though you need to show leadership beyond technical problem-solving.

Highlight cross-functional influence, stakeholder management, and entrepreneurial initiatives. You are competitive for Ross, but Kellogg or Sloan would require more leadership and people-management depth.

Ameer Khatri, Admissions Consultant, Schedule 1-on-1 call
https://admitportal.ameerkhatri.com/pro ... n-calendar