Professional Summary
Data & AI Professional with a proven track record in building scalable data products across the Beauty Tech and Financial sectors. Experienced in engineering robust data pipelines, enforcing strict data quality standards, and driving statistical analysis. Skilled in Python, SQL, and BI tools, with a strong passion for transforming complex data into actionable business insights.
Education
EDHEC Business School — MSc Data Science & Artificial Intelligence
Since 2025 — Lille, France
Ranked #4 Business School in France. Focus on applied data science and AI for business.
Core: Python for data analysis; statistical modeling & inference; data mining & machine learning (clustering/PCA, classification, ensembles), model validation & interpretability.
Advanced: Deep learning (Keras), NLP (topic modeling, embeddings, sentiment + intro to LLMs), time series forecasting (ARIMA/SARIMA + ML), scalable data management & analytics engineering (SQL/cloud pipelines, production considerations).
Applied analytics: Web analytics stack (GA4/GTM, BigQuery SQL, Looker Studio) and business projects translating data into decision-ready dashboards and recommendations.
ESSCA School of Management — Bachelor in International Management
2022 — 2025 — Paris, France
Studied international management with coursework in finance and analytics.
Business, strategy & project delivery: project management, strategy, organisational behaviour, cross-cultural management, business simulation.
Marketing, negotiation & communication: marketing project, negotiation, market research, multimedia communication (campaigns & stakeholder comms).
Finance, economics & governance: finance for managers, economics, political economy, international trade, intro to law & international relations.
Professional Experience
French Army Reserve — 2nd Dragoon Regiment, 6th Squadron
Reserve Soldier
- Reserve soldier in the 6th squadron of a cavalry regiment specialized in NRBC.
- Trained and equipped to operate in and respond to Nuclear, Radiological, Biological, and Chemical (NRBC) threat environments.
- Experience in high-discipline operational settings, teamwork, and readiness for time-constrained missions.
L'Oréal — Beauty Tech
Data Intern – Global Commerce Data Domain
- Data Product Build (React & GCP): Designing and deploying "Find Your Customer", a user-centered React web app on GCP (versioned on GitHub) that lets business and data teams search a customer, view key information and easily access the underlying B2B and sellout data.
- Data Contracts & SLAs: Contributing to the implementation or formalization of data contracts for the priority data flows of the Commerce scope, defining quality rules, alerting and expected service levels.
- Master Data Harmonization: Structuring massive volumes of complex Master Data (Customer, Point of Sale, Sales Force Structure) from the SAP ECC and TIBCO EBX source systems into scalable, business-ready assets.
- Data Quality & Remediation: Identifying and prioritizing personal data quality gaps on the Commerce scope, then steering the corrective actions with the IT teams.
- Personal Data Governance & Compliance: Supporting the Data Protection Officers on the Commerce scope — contributing to the mapping of processing activities and data flows, checking that required compliance information is in place, following up on personal data requests and raising team awareness.
- Run & Operational Continuity: Handling requests and incidents on the assigned scope within agreed timeframes, keeping transparent follow-up on open topics and maintaining up-to-date documentation for recurring processes.
- Cross-Functional Collaboration: Working daily with Data Product Owners and Data Engineers on the Global Commerce Transformation strategy, building a structured understanding of Commerce and Data dynamics to become an identified point of contact and share an actionable synthesis with the SDDS Commerce team.
Manager: Mr. Luc Bochet, Lead Data Product Owner
La Banque Postale — Data Team, Payment Department
Data Analyst Intern
- Data flow governance: supervised and optimized payment flow processes with focus on SEPA/DSP2/IP compliance.
- Business needs analysis & implementation: partnered with stakeholders to understand needs, analyze processes, and deliver tailored reporting automation and KPI tracking improvements.
- Automation & reporting: built dashboards and monitoring tools (QlikSense, Dataiku, SQL, Python) and automated recurring reporting to reduce manual workload and improve real-time visibility.
- XML file mapping: mapped and structured XML files to improve traceability, usability, and downstream integration.
- Data flow optimization: identified anomalies, improved processes, and supported operational reliability for payment workflows.
- Data quality management: implemented validation rules and automated error-detection mechanisms to increase accuracy and consistency of financial data.
- Process improvement: identified bottlenecks in data workflows and delivered optimizations improving processing time and operational efficiency.
Manager: Mr. Hervé Harvoire, Payment Hub Manager
Sienna Investment Managers — Finance Team
Account Payables Trainee
- Treasury management & reporting: executed daily treasury tasks, reconciled bank statements, and produced liquidity/cash reports; contributed to cash projections and month/year-end processes.
- Management reporting & analysis: supported reporting and performed financial analysis to help monitor portfolios and operational performance.
- Accounting & invoicing: processed and verified supplier invoices; managed sales invoices and maintained accounts payable/receivable; resolved discrepancies with vendors.
- Regulatory compliance: supported VAT and Income Tax preparation and ensured adherence to internal policies and accounting standards.
- Documentation & payments: maintained audit-ready records and supported payment processing (checks, ACH, wire transfers); reconciled employee expense reports.
Manager: Ms. Aija Livca, Account Payable Manager
EasyBourse — Business Development Team
Support to the Business Development Manager
- Conducted market and sales performance analysis to identify trends and opportunities.
- Coordinated incentive programs, email campaigns, and digital advertising to support client engagement.
- Supported commercial activity by preparing quotations and assisting with business offers.
Skills
Programming & Data
Analytics & BI Platforms
Methods & Soft Skills
Languages
- 🇫🇷 French — Native
- 🇬🇧 English — Advanced (C1) · TOEIC 970 · TOEFL iBT 95
- 🇪🇸 Spanish — Intermediate (B2)
- 🇷🇺 Russian — Elementary (A2)
Certifications
SAFe by Scaled Agile
- Certified SAFe® 6 Agilist · 2026
Anthropic
- AI Capabilities and Limitations
- Model Context Protocol: Advanced Topics
- Claude Code in Action
- Introduction to Claude Cowork
- Claude Code 101
- Claude 101
- Building with the Claude API
- Introduction to Model Context Protocol
Bloomberg
- Bloomberg Market Concepts · 2025
IBM
- What is Data Science?
- Tools for Data Science
- Python for Data Science, AI & Development
- Machine Learning with Python
- Data Science Methodology
- Python Project for Data Science
- Databases and SQL for Data Science with Python
- Data Scientist Career Guide and Interview Preparation
- Data Visualization with Python
- Data Analysis with Python
- Generative AI: Elevate Your Data Science Career
Interests
Projects & Portfolio
📈 Sentiment Analysis & Short-Term Return Predictability in Small-Cap Nuclear Equities — MSc Thesis (EDHEC, 2026)
Does FinBERT-derived news sentiment improve short-term return prediction for small-cap nuclear equities? This MSc thesis builds a fully reproducible five-phase pipeline — feasibility audit, data engineering (3,992 ticker-days, 25,885 news articles covering SMR, LEU, NNE), FinBERT sentiment scoring, LSTM training with chronological hold-out, and SHAP explainability. Key finding: sentiment augmentation yields a statistically significant average MAE improvement of +5.18% at the 5-day horizon; no aggregate benefit at the 1-day horizon. Hypothesis testing via Diebold-Mariano tests.
🤖 TRAD_BOT — Algorithmic Trading Suite (Binance + IBKR)
Two independent algorithmic trading bots in one repository. The Binance bot runs a delta-neutral cash-and-carry strategy (long spot + short perpetual) to harvest funding every 8 hours, with an event-driven backtester, walk-forward analysis, real-time WebSocket market data, risk kill-switches and Telegram/email monitoring. The IBKR bot trades US equities through a two-stage sentiment funnel (FinBERT → LLM gatekeeper) with a dollar-neutral portfolio overlay. Multiple execution modes: backtest, paper, dry-run and live.
🩺 kleerer — Open, Science-Based Health Data
An open-source project making health data available to people looking for evidence-based advice and recommendations, instead of ad-driven content. Ships as a small, fast static site (GitHub Pages) with a comparison tool as its first building block, plus a bot module handling data automation behind the scenes. Actively evolving — more science-based tools are on the way.
🚀 More projects coming soon 🏗️
This space is reserved for upcoming work in data science, quantitative finance and AI. Stay tuned — new projects are on the way.
Contact
Open to opportunities in data science, AI strategy, and data governance roles. Feel free to reach out!