Master's student at EFREI Paris, specializing in Data Analysis. Background in financial data systems at BNP Paribas and NLP/ops engineering in Tokyo. Seeking a junior role at the intersection of data and quantitative analysis.
About
I hold a Master's in Computer Engineering from EFREI Paris and am currently studying Japanese & Business at ISI Language School in Tokyo while working at Kenja K.K. on projects at the intersection of AI, machine learning, and business operations.
Previously at BNP Paribas in Paris, I built financial data pipelines and dashboards covering Asian & Chinese markets. That background lets me bridge business needs and technical solutions particularly in data-driven, cross-cultural environments like Tokyo's tech ecosystem.
Stack
Languages
Projects
Python backtesting engine for equity momentum strategies on S&P 500 constituents. Implements monthly rebalancing, transaction cost modeling, and full performance attribution, Sharpe, Sortino, max drawdown, and rolling beta vs. benchmark.
Bloomberg-style EUR/JPY dashboard: live rate, SMA/RSI/Bollinger Band overlays, 1,000-path Monte Carlo simulation with t-distribution, macro event radar, personal trade log with auto-resolution, and conversion calculator.
Interactive Streamlit dashboard analysing Japan's labour market using official e-Stat government data. Tracks the job-to-applicant ratio (有効求人倍率) from 2015 to present, industry breakdown, Tokyo vs national comparison, unemployment trends vs OECD average, and data analyst salary outlook in Tokyo.
Installable Python CLI that accepts any equity-curve CSV and produces a Rich terminal risk summary plus a 5-panel matplotlib PDF tearsheet. Computes CAGR, Sharpe, Sortino, Calmar, historical and parametric VaR (95/99), CVaR, max drawdown, skewness and kurtosis, plus alpha, beta, information ratio and up/down capture vs. any yfinance benchmark.
Gradient boosting classifier (XGBoost + SHAP explainability) trained on the UCI credit dataset. Includes feature engineering on payment history, SMOTE oversampling for class imbalance, and an interactive Streamlit dashboard.
Production NLP pipeline to detect and classify misrouted customer calls from 5,000+ monthly transcripts in French, English, and Japanese. Rule-based routing logic with zero LLM dependency fully auditable and traceable for compliance.
Experience
2023 2024
BNP Paribas
Paris, France
2025
Kenja K.K.
Tokyo, Japan
Education
Apr 2026 - Present
ISI Language School
Tokyo, Japan
Japanese Language & Business
Intensive Japanese language program with a focus on business communication and cross-cultural professional practice.
2020 - 2025
EFREI Paris
France
Master's in Computer Engineering
Specialization in Data Analysis. Coursework covering machine learning, big data architectures, statistical modeling, and data visualization.
Open to junior data analyst and data engineer roles in Tokyo and internationally. Currently based in Japan.