Second-year engineering student at Télécom Paris (Institut Polytechnique de Paris), specializing in Stochastic Modeling & Scientific Computing and Data Science. Starting my MSc Mathematics & Finance at Imperial College London in September 2025.
- Algorithmic Trading Systems: Built a reinforcement learning-based trading bot achieving 18% annual returns
- Healthcare AI: Developed predictive models for cancer treatment analysis at AP-HP hospital + Top 10 finish at Google DeepMind Healthcare Hackathon
- Quantum Computing: Explored quantum optimization algorithms for telecom networks at Sopra Steria
- Research: Medical funding analysis using OCR + LLM + statistical modeling
- Data Science Intern @ Hôpital Henri Mondor (AP-HP) - Predictive modeling on healthcare data
- Quantum Computing Intern @ Sopra Steria - Cold atoms-based quantum algorithms
- Former General Secretary @ Forum Télécom Paris - Managed €300k budget for largest student career fair
Programming Languages:
- Python ⭐️⭐️⭐️⭐️⭐️
- C++ ⭐️⭐️⭐️⭐️
- R ⭐️⭐️⭐️⭐️
- MATLAB ⭐️⭐️⭐️
- TypeScript ⭐️⭐️⭐️
- OCaml ⭐️⭐️
- Java ⭐️⭐️
Finance & ML Libraries:
- Quantitative Finance: QuantLib, NumPy, SciPy, Pandas
- Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost
- Quantum Computing: Qiskit, Pulser (Pasqal)
- NLP: NLTK, Transformers, spaCy
- Quantitative Finance: Derivatives pricing, portfolio optimization, algorithmic trading
- AI in Healthcare: Predictive modeling, NLP for medical data
- Quantum Computing: Optimization algorithms, financial applications
- Time Series Analysis: Forecasting models, statistical pattern recognition
Trading Bot - Deep RL algorithmic trading system with risk management
GEMCARE - AI medical records platform (Google DeepMind Hackathon Top 10)
Research Funding Analyzer - OCR + LLM for medical research funding analysis
Quantum Network Optimizer - Quantum algorithms for telecom resource allocation
French (Native) | English (Fluent - TOEFL 106/120) | German (B2) | Spanish (A2)
- Email: paul.archer25@imperial.ac.uk
- LinkedIn: linkedin.com/in/p-archer
- Location: Paris, France
"Bridging mathematics, AI, and finance to solve tomorrow's quantitative challenges" 🚀