🎓 Data Science student at the African School of Economics (Abidjan)
I design and build data-driven systems combining machine learning, econometrics, and statistical modeling, with a focus on real-world applications.

• Applied Machine Learning
• Econometrics & Causal Analysis
• Time Series Modeling (Box-Jenkins, forecasting)
• Data-driven decision systems

End-to-end analytics tool for survey data:

• Automated data cleaning and preprocessing
• Psychosocial scoring (Karasek, QVT, MBI)
• KPI extraction and interactive dashboards
• Exportable reports (Word, PNG, ZIP)

→ Designed for operational use in NGOs, HR analytics, and field research contexts

Hedonic pricing model applied to Abidjan’s housing market

• Econometric modeling and feature analysis
• Interpretation of structural price drivers
• Bilingual technical report (EN/FR)

Forecasting UK car sales using Box-Jenkins methodology

• STL decomposition, stationarity testing
• Model selection (ARIMA/SARIMA) and residual diagnostics
• Quantitative evaluation (RMSE comparison)

Data pipeline for registration and monitoring of camp participants

• Data collection via KoboToolbox
• Centralized processing and visualization (Looker Studio)
• Transition from manual to data-driven workflow

Languages & Tools

Data & ML

Visualization & Apps

• Data Science Internship (applied or research-oriented)
• AIMS Program (Applied Mathematics / Data Science)

📍 Abidjan, Côte d'Ivoire