Professional Summary

MSc Data Science & AI student with experience in data governance, financial data management and statistical analysis. Skilled in Python, SQL and BI tools, with professional experience in banking, asset management and business development. Motivated to contribute to innovative organisations by leveraging data to improve decision-making and operational efficiency.

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, organizational 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)

Since December 2022 — Fontevraud L'Abbaye, France

  • 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.
La Banque Postale — Data Analyst Intern (Data Team, Payment Department)

January – July 2025 — Paris, France

  • 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 — Account Payables Trainee (Finance Team)

January – July 2024 — Luxembourg

  • 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 — Support to the Business Development Manager (Business Development Team)

April – July 2023 — Issy-les-Moulineaux, France

  • 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

Technical
  • Python: pandas, NumPy, scikit-learn, matplotlib, seaborn
  • SQL: PostgreSQL, database querying
  • Data platforms: Dataiku
  • BI: QlikSense, Tableau, Power BI
  • Excel: financial modelling & VBA automation
  • Basics of Docker, Java, HTML/CSS
Other
  • Data governance & data quality
  • Statistical analysis & modelling
  • Product thinking, testing, observability
  • Collaboration, mentoring and cross-functional communication
Languages
  • French — native
  • English — advanced (C1). TOEIC: 970, TOEFL iBT: 95
  • Spanish — B2
  • Russian — A2
Interests

Finance & investing, sports (calisthenics / running), travelling, motorsports, video games.

Projects & Portfolio

🎯 Multi-Source Sentiment & Short-Term Price Dynamics (Small-Cap Nuclear & Energy Transition)

Research proposal investigating whether sentiment signals extracted from professional news and social media can explain or predict short-term returns (T+1…T+5) and volatility for an “information-sensitive” universe of small-cap nuclear and energy-transition equities. The pipeline covers data collection (OHLCV + benchmarks/commodities + text), sentiment scoring (FinBERT for news; VADER / finance-oriented NLP baselines for social), daily aggregation and fusion, and modeling with rolling validation (AR/GARCH baselines, Random Forest/XGBoost, LSTM) with interpretability via SHAP and tests for asymmetry/negativity bias.

Python NLP / Sentiment Time series
📊 Project 2 - under construction 🏗️

Another placeholder for a project. Currently being developed.

Contact

Open to opportunities in data science, AI strategy, and data governance roles. Feel free to reach out!

Download CV