Based in Singapore · Available now

Business minded.Data driven.People focused.

I’m Louis-Gabin, a French Master in Management graduate based in Singapore. I’m looking for my next role here, bringing commercial sense, data and people skills to the table.

Open to roles in business analysissales performancestrategy & transformationbusiness development

My path

From business to data & AI, now in Singapore.

  1. 2020 – 2023Montpellier Business SchoolBachelor of International Business AdministrationExchange · Masaryk University, Brno
  2. 2022 – 2023Tut TutBusiness Developer · Apprenticeship20 new B2B clients
  3. 2023 – 2024SKEMA Business SchoolMaster in ManagementBusiness core curriculum
  4. 2024 · Gap yearL’OréalSales Operations · Internship1,000+ SKUs, 500+ sales recipientsBrandstorm · France finalist
  5. 2024 – 2025 · Gap yearBMW GroupSales Performance Analyst · Internship109 dealerships analysed
  6. 2025 – 2026SKEMA Business SchoolMSc AI for Business TransformationExchange · Soochow University, SuzhouFT MiM · #13 worldwide ↗
  7. NowSingaporeOpen to opportunitiesAvailable immediately
What I bring

Connecting teams.
Turning insights into action.

At BMW Group, I analysed sales performance across a 109-dealership network. At L’Oréal, I connected reporting with commercial operations. At Tut Tut, I won and managed B2B clients. Together, these experiences shaped a cross-functional profile that is equally at ease with numbers, field teams and clients.

  • 01Business analysis & strategy
  • 02Sales performance & reporting
  • 03Business development & client relationships
  • 04Data & AI for transformation
Selected work

Curiosity, put to work.

From business questions to AI systems. Research and team projects, all open on GitHub.

My MSc in AI for Business Transformation brought me closer to the technical side of problem-solving: connecting business needs with simulation, machine learning and evidence-based AI.

RESEARCH / AIR TRAFFIC × QUANTUM
  • Conflict detected · 2 aircraft
  • Classical baseline · Gurobi
  • Quantum · QUBO → QAOA (Qiskit)
  • Resolved · 1 heading change
ONE PROBLEM. TWO COMPUTING APPROACHES.
01 / Master’s thesis

Rethinking aircraft conflict resolution.

Exploring how quantum optimisation compares with classical methods for keeping aircraft safely separated in small, simplified scenarios.

  • Python
  • Qiskit
  • Optimisation
Inside the project

The question: how can heading changes resolve potential conflicts while limiting the number of aircraft that manoeuvre?

My approach: turn possible heading changes into yes-or-no decisions, then compare classical, quantum-inspired and QAOA methods on small 2D scenarios.

What it taught me: how to translate an operational problem into a model and explain technical trade-offs. An experimental benchmark, not a claim of quantum advantage.

MSc AI CAPSTONE / TEAM PROJECT
SimulateCompareAllocate
FINANCIAL RISK. INFORMED INTERVENTION.
02 / Financial decision support

Where should limited capital make a difference?

A team-built decision platform exploring how financial shocks spread between banks, and how a limited recapitalisation budget could reduce systemic risk.

My role: Project Manager. Connecting business needs, team coordination and technical decisions, with hands-on support for code and Gradient Boosting benchmarking.

  • Project management
  • Machine learning
  • Decision support
Inside the project

The concept: Financial Exposure Network for Risk Intervention & Resilience. Banking data and interbank exposure matrices feed Monte Carlo scenarios and a contagion engine.

The architecture: a heuristic recapitalisation optimiser as reference, Gradient Boosting and MLP models approximating its decisions, a Streamlit Decision Cockpit to compare strategies.

My contribution: I coordinated the project, explored business and market needs, considered data-use and legal constraints, and benchmarked Gradient Boosting approaches to inform model selection.

GENERATIVE AI / TEAM PROJECT
Academic
Evidence Finder
RetrieveAssessCite
ANSWERS CONNECTED TO THEIR SOURCES.
03 / Scientific literature & RAG

From convincing answers to traceable evidence.

An AI assistant designed to retrieve real academic papers, assess scientific claims and answer questions with citations linked to source passages.

MSc team project. Built for Generative AI and Prompt Engineering, designed to reduce unsupported answers and acknowledge insufficient evidence.

  • Generative AI
  • RAG
  • Prompt engineering
Inside the project

Three ways to explore: Claim Verifier, Paper Search and Paper Chat, each answering with citations tied to source passages.

The architecture: Vue 3 and FastAPI connect Semantic Scholar, LLM APIs and ChromaDB, with hybrid retrieval and source-grounded generation.

Professional experience

Grounded in business.

Get the full CV
01

July 2024 – January 2025
Paris, France

109dealerships covered
8recurring reports

Sales Performance Analyst · Internship

Supporting commercial decisions across the BMW and MINI dealer network, from recurring performance monitoring to targeted market analysis.

  • Analysed BMW and MINI performance across 109 dealerships, tracking sales volumes, targets and market trends.
  • Owned 8 recurring registration reports (4 weekly, 4 daily) for French and European management.
  • Delivered ad hoc dealer and market analyses highlighting commercial risks and opportunities.
  • Supported the rollout of Qlik Sense dashboards for sales performance monitoring and management reporting.
  • Performance analysis
  • Qlik Sense
  • Reporting
02

January 2024 – June 2024
Paris, France · Consumer Products Division

1,000+SKUs managed
500+field-sales recipients

Sales Operations · Internship

Connecting commercial operations, reporting and field-team communication, making information useful in day-to-day sales activity.

  • Managed assortment and invoicing data for 1,000+ SKUs and coordinated promotional activations across 15+ product categories.
  • Owned a commercial newsletter distributed to 500+ field-sales recipients.
  • Produced weekly Power BI stock reports for the click-and-collect channel.
  • Power BI
  • Commercial operations
  • Cross-functional coordination
03

August 2022 – August 2023
Avignon, France

20new B2B clients
20%prospect conversion

Business Developer · Apprenticeship

Developing a local B2B client portfolio in a start-up environment, from prospecting and acquisition to onboarding and account follow-up.

  • Acquired 20 new B2B accounts from 100 qualified prospects, a 20% conversion rate, while company revenue grew from €0.6m to €2.5m (+317% YoY).
  • Conducted outreach to bakeries, caterers and florists via phone, email and social media.
  • Managed local business accounts from onboarding to ongoing follow-up.
  • Business development
  • B2B acquisition
  • Account management
Coaching & mentoringASTPrep2026

Freelance Admissions Interview Coach

Coached 100+ students preparing for selective business-school admission interviews in France.

  • Coaching
  • Communication
  • Interview preparation
100+students coached
L’Oréal Brandstorm / 2024

From an idea to the pitch.

France finalist · Top 10 teams

Meet Brushle.

A smart hairbrush concept, imagined to rethink everyday hair care.

Alongside two teammates, I co-created and presented Brushle after weeks of preparation. Our team reached the French final, among the top 10 teams out of more than 5,000 applicants, and pitched to the L’Oréal board and CEO.

It brought together what I enjoy: exploring a business idea as a team, connecting it with technology and making it clear through a pitch.

  • Beauty Tech
  • Teamwork
  • Pitching
Read my original post About the competition
The team presenting the Brushle smart hairbrush concept on stage
Presenting Brushle together at the French final.
01 / 04
A little more about me

French roots.
International perspective.

I’m French, and I moved to Singapore in early September to start the next chapter of my career here.

I’m a Master in Management graduate from SKEMA Business School, specialising in AI for Business Transformation, with experience in commercial teams at BMW Group, L’Oréal and a fast-growing start-up. Exchange semesters in the Czech Republic and China strengthened my interest in working across cultures.

I’m looking for opportunities in Singapore in business analysis, sales performance, business development and strategy & transformation. This site is the best place to learn more about me, and to reach me.

Outside work, you’ll find me on a golf course, running, following motorsports or reading about international affairs.

Languages

French · Native
English · Fluent, C1 (TOEIC 980/990)
Mandarin · Beginner, willing to improve

My toolkit

Analytical tools.
A practical mindset.

Analysis & reporting

Excel (advanced) · PowerPoint
Power BI · Qlik Sense
Performance reporting · Market analysis

Data & technology

SQL · Python · R
Microsoft Power Platform
AWS fundamentals · Machine learning

Working with people

Cross-functional coordination
Client relationships · Business development
Project coordination · Presentations

Certifications
  • AgilePM® Foundation
  • Microsoft PL-900
  • IBM Quantum Learning
SKEMA Business SchoolMaster’s degree · 2023 to 2026

SKEMA Business School

Master in Management & MSc AI for Business Transformation
Financial Times Masters in Management 2026: 13th worldwide, 4th in France
Coursework: data science, Python, R, SQL, AWS, machine and deep learning
Exchange semester · Soochow University, Suzhou, China

Montpellier Business SchoolBachelor’s degree · 2020 to 2023

Montpellier Business School

Bachelor of International Business Administration
Exchange semester · Masaryk University, Brno, Czech Republic

Let’s keep the conversation going

An opportunity in Singapore,
or a coffee to talk about it?

louisgabinozil@gmail.com