TECHNICAL SKILLS- SQL: SQL Server, SQLite
- MS Excel: complex formulas/modelling
- Python: Pandas, NumPy, Matplotlib, Sklearn, Duckdb, Pydantic - extending
- Power BI: visualizations, dashboards
- AI-native, up to systems development
- LLM APIs, Github, multi-agents, API integrations
OTHER COMPETENCIES- Data processing, cleaning, visualization
- Process automation and agentic AI
- Risk management in investment & trading frameworks
SOFT SKILLS- Analytical and critical mind
- Complex problem solving
- Both perspective and detail oriented
- Presentation skills
- Autonomous, organized and proactive
- Team oriented
- Worked in AGILE environments
- Continuous and fast learner
PROFESSIONAL EXPERIENCE01/2018 - 11/2025Data Analyst, Quant Developer (self-employed) BE-CY-UAE
- Data analysis & predictive modelling (Matlab): data analysis and supervised classification (comprehensive screening engine) to identify position trading opportunities across global equity markets on a daily basis (data acquisition, trend following strategies, custom visualization, parallel computing, deployment in production with automated processes). This tool allowed to identify multi-bagger position trading/investment opportunities with high win rate and strict risk management (metrics available upon request).
- Algorithmic trading (mql5): developed and backtested mid-frequency algorithmic trading systems (long/short trend following, mean reversion), coded advanced day trading indicators.
02/2016 - 12/2017Business Analyst
ENGIE, Brussels
- Consulting, economic & financial modelling (Excel): designed total cost of ownership models comparing green mobility solutions, business plans, and cooperated with M&A teams on assets valuations. Managed budgets, relationships with internal clients, supervised VIEs.
- Market analysis: studied green mobility market potential, competition & regulation.
07/2012 - 02/2016Market Analyst
ENGIE, Brussels
- Data analysis (SQL, Python): applied SQL queries and ML classification techniques to cluster of clients behaviour from smart thermostat data and produce energy efficiency insights.
- Power market modelling: modelled the LT Italian supply, demand and power prices as a key driver for strategic positioning and investment files.
03/2008 - 06/2012(Senior) Forecasting Officer
Electrabel, Brussels
- Statistical modelling and forecasting (Matlab, SAS): developed predictive models for the Belgian electricity/gas consumption.
- Peak gas demand estimation: optimized estimation in Matlab with 8% cost savings.
09/2005 - 01/2007University Teaching Assistant
UCLouvain/Institute of Statistics, LLN