Curriculum Vitae
Education
-
University of Lille - Master in quantitative finance
Academic Highlights
- Asset pricing and hedging derivatives (Black & Scholes model, brownian movements and stochastic equations)
- Empirical methods (diff in diff regression)
- Financial theory
- Machine Learning / Deep Learning (Keras - Tensorflow)
- TimeSeries (financial forecasts, moving average)
- Hot-Topics in finance (blockchain, cryptocurrency, peer to peer lending)
- Ethic in finance (ESG reporting)
-
ISEN - Engineering degree in Computer Science and Finance (opens in a new tab)
Academic Highlights
5th year
- Behavioral Finance
- International Finance
- Futures Markets
- Business Valuation
- Treasury Management
- Banking Management
- Real Estate Investment (Pinel law, taxation, etc.)
- Wealth Management (legal aspects)
- Business Succession (Owner Buy Out system, ...)
- Derivative Products (Bonds, forward contracts, futures)
4th year
- AI development
- Programming Languages :
- Android using
Java
,Maven
,Kotlin
C#
HTML
,CSS
andJavascript
PHP
C
- Android using
- Network architecture
- Digital Marketing
3rd year
- Quantum physics (Schrodinger equations, cristal atomic composition and others that I don't quite remember)
- Electronics (
Assembly
coding FPGA, sound systems with filters and equations) - Applied mathematics with statistics
MATLAB
andPython
2nd year
- Physics: Fluid mechanics,
MATLAB
visualization - Mathematics: Brownian motion, Taylor expansions, ...
- Engineering Sciences: Connections, 3D design, force calculations
- Algorithmic Development: Bubble, Selection, Merge sorting algorithms with
Python
1st year
- Math Sup (Mathematics Foundation Year)
- Engineering Sciences
- Project Management
-
Harvard Business School Online - Design thinking and innovation certificate (opens in a new tab)
Academic Highlights
- SIT (Systematic Inventive thinking)
- The four phases of innovation
- 2x2 framework
- Fogg model
Experience
Mazars - Trainee IT Auditor - 2022/2023
- Audit on accounting softwares
- Data analytics regarding financial flows
- In-House software development
- Built team management dashboard using
HTML
,Javascript
andCSS
obviously - API development using
Python
- Built team management dashboard using
Cofidis - Fullstack developer - june/september 2022
- Project Leader for fraud identification amongst image documents
- Chatbot using
RASA
framework, training machine learning algorithm for Natural Language Processing/Understanding
Project
-
Stein Programs (opens in a new tab) - since January 2020
Leveraging decentralized finance by developing solutions to reduce market asymetries.
-
Dry-aging appliance - since early 2022
Dive into budget-friendly gourmet at home with the help of machine learning and computer vision. Enjoy the extraordinary flavors of dry-aged meat, cheese, wine, and sausages—all effortlessly tailored by the appliance.
-
Pattern Recognition Algorithm (opens in a new tab) - from September 2022 to May 2023
Identifying financial market patterns based on historical variations. Throughout this work, we came to the conclusion that modern markets are highly driven by emotions.