Mbaideyo D.

I am a Statistical Engineer and a Qualified Actuary, holding a Master’s degree in Applied Mathematics. I have over 15 years of expertise in transforming complex data into strategic, actionable insights for decision-making: 🔹 Statistical and Financial Competencies - Statistical & Financial data analysis and modeling - Valuation and pricing of financial instruments - Stochastic calculus applied to finance - Numerical methods and Monte Carlo simulations - Portfolio management and optimization - Market risk measurement and management - Machine learning applied to finance - Advanced financial econometrics (ARCH/GARCH models, copulas, non-linear dependencies) - Visualization and reporting (interactive dashboards for financial KPI monitoring). 🔹 Actuarial Competencies - Risk evaluation and management: financial, insurance, and operational risks. - Pricing and reserving: actuarial models for life, non-life, health, and hybrid products. - Cash flow projection and ALM (Asset Liability Management). - Survival models and transition probabilities applied to insurance and financial products. - Regulatory compliance and prudential frameworks: Solvency II, IFRS 17. 🔹 Basically my expertise combine: - Statistical & mathematical rigors for modeling. - Quantitative insight for financial metrics. - Actuarial and Insurancial valuation for commitments. 🔹 Technical skills: - Excel-VBA (automated reporting, pivot tables, user forms, API/SQL integration) - Power BI (Power Query, Power Pivot, DAX, Time Intelligence, interactive dashboards) - Python (NumPy/SciPy, pandas, scikit-learn, TensorFlow/PyTorch, QuantLib, matplotlib/plotly) - R (tidyverse, data.table, forecast, rugarch, copula, survival, Shiny) - SQL (JOIN, GROUP BY, Window Functions, CTE, Stored Procedures, Indexing)