Mamadou Diop · M2 Actuarial Science

I learn by building.

I am an M2 actuarial science student with a background in mathematics and computer science. I build small, testable systems to make ideas concrete.

Selected work

Three projects that shaped how I work.

The problem, my exact contribution and the limit of what exists today.

01 · Creator risk Deployed prototype

Problem: Explore how creator data can support understandable coverage terms, pricing and documentation.
Contribution: I designed and built the prototype flow connecting data, a risk model, APIs, documents and projections.
Result: A pre-launch research product running on Azure in shadow mode. No insurance is offered or bound.

02 · Financial data Public code

Problem: Compare ETFs without moving between disconnected tables, filters and portfolio views.
Contribution: I built the React interface, FastAPI backend, search, filters and portfolio workflows.
Result: The code, architecture and tests are public. The live deployment is being published at zoometf.sure-content.com.

03 · IT operations Paris 2024

Context: An Olympic competition site, from July to September 2024.
Contribution: I deployed and configured workstations, then handled incident tickets with the on-site IT teams.
Takeaway: A useful system has to remain understandable and repairable when the pace increases.

How I work

Rigour is not a finishing layer. It starts with how the problem is framed.

01
Frame
Name the assumptions, the missing data and what the system cannot do yet.
02
Build
Keep one source of truth, then let every interface consume the same result.
03
Check
Test edge cases, observe real behaviour and correct before expanding the scope.

Education

Current

ISUP · Sorbonne Université

2024—2025

Sorbonne Université · with honours

2022—2024

Mathematics & Computer Science · Université Paris Cité

More details