🎓 Engineering student in Data & Artificial Intelligence — ECE Paris (2024–2027)
📊 Data professional with experience in Finance, SAP, BI, and Data Pipelines
⚙️ Strong focus on data reliability, scalable analytics, and decision support systems
💡 I specialize in turning:
raw, complex, and imperfect data → into structured, reliable, and actionable insights
📍 Paris | 📅 Sep 2024 – Jan 2026
- Built data quality monitoring dashboards (Power BI) for financial KPIs
- Automated regulatory controls (Sapin II) using ACL Analytics & HighBond
- Processed SAP data for audits, reporting, and compliance
- Detected and corrected data inconsistencies in financial systems
📍 Paris | 📅 Sep 2023 – Sep 2024
- Designed ETL pipelines using Power Query
- Automated business workflows with Power Automate
- Developed internal tools with Power Apps
- Delivered operational dashboards (Power BI)
📍 Paris | 📅 Jul 2022 – Aug 2022
- Conducted functional testing via Jira
- Performed BI analysis using Cognos
🎓 Engineering Degree — Data & AI
ECE Paris (2024 – 2027)
🌍 Exchange Program — Algebra University (Zagreb, Croatia)
May 2025 – Jul 2025
→ Statistics, Probabilities, C++, Data Storytelling Certification
🎓 Bachelor MIAGE (Information Systems & Data)
Université Paris Nanterre (2023 – 2024)
🎓 Bachelor MIASHS (Maths & Computer Science Applied)
Université Paris 1 Panthéon-Sorbonne (2020 – 2023)
End-to-end pipeline processing millions of scientific records
- Graph construction (NetworkX)
- Community detection (Louvain)
- Centrality metrics (PageRank, Betweenness)
- Visualization (Gephi, Streamlit)
👉 Focus: Data Engineering + Graph Analytics
Data-driven investment decision system
- Yield calculation & price evolution
- Data cleaning & feature engineering
- Analytical pipeline
👉 Focus: Business Analytics + Financial Modeling
Real-time data pipeline combining APIs
- Kafka ingestion
- Stream processing
- HDFS / HBase storage
👉 Focus: Big Data Engineering
Operational data & workflow system
- Business rule automation
- Data lifecycle tracking
- Decision dashboards
👉 Focus: Data + Operations + BI
📅 2020 – Jun 2025
- Led multi-level teams (~20 managers supervising their own teams)
- Managed large-scale student aid operations and logistics
- Structured workflows, coordination, and decision-making processes
👉 Demonstrates:
- leadership
- organization at scale
- real-world operational management
Languages
Python, PL/SQL, ACL, Power Fx, Bash
Data & ML
Pandas, NumPy, NetworkX, Scikit-learn
BI & Analytics
Power BI, Tableau, Metabase, Power Query, Orange Data Mining, Cognos BI
Tools & Platforms
Azure, SAP, ACL Analytics, HighBond, AppScript
Power Apps, Power Automate, Git, Modelio
- Hybrid profile: Data Engineering + Analytics + Business
- Experience with real production data (finance, SAP, compliance)
- Ability to build end-to-end data workflows
- Strong focus on data quality and reliability
Open to opportunities in:
- Data Science
- Data Engineering
- Advanced Analytics / BI
