Kim‑Thi Vu

Strong mathematical foundation combined with applied data‑science practice: Kim studied mathematics at Leibniz Universite4t Hannover (B.Sc.) and is pursuing an M.Sc. in Mathematics (TU Berlin), with an EPFL exchange — a trajectory that supports rigorous quantitative and theoretical skills which she applies in data‑science roles. epfl+2

Bridges academia and industry through consulting and internships: multiple internships at top consultancies (Bain, McKinsey) and experience in a student consultancy (Janus Consultants) indicate strengths in problem solving, client-facing work, and translating quantitative analyses into recommendations. linkedin+1

Energy and finance domain exposure: current role as Data Scientist at trawa and an internship in quantitative banking supervision at Deutsche Bundesbank suggest applied experience at the intersection of data, markets, and regulation (energy procurement/optimization and quantitative finance/regulatory work). trawa+1