Rôles occupés
Back-end
Business Intelligence
Centralized and automated data flows (ETL) to improve KPI reliability and detect anomalies. Modelled debt covenants (DSCR) to anticipate financial risks under stress scenarios.
Applied insights from Kaggle M5 Forecasting to design predictive models on large datasets in Python. Performed time series EDA and trained LightGBM for sales prediction, reducing RMSE by 25.4%. Built 8 automated dashboards in Power BI, reducing reporting time by 33%.
Developed and deployed a fintech SaaS platform (React Native, Node.js/Express, MariaDB). Built CI/CD pipelines (GitHub Actions) with automated testing, monitoring, and Oracle-based deployments. Led a 4-person team as Scrum Master, managing sprints and feature backlogs.
Dual Degree in Computer Science & Financial Risks.