Christian Yamdjieu Ngadeu

I am an experienced statistician methodologist passionate about data science. Throughout my career, I have developed strong expertise in predictive modeling and high-dimensional data analysis, enabling me to solve diverse and complex problems.

I have participated in several large-scale data projects as a statistical study engineer.

I work with multidisciplinary public or private teams to help them leverage their study data, employing advanced quantitative methods and artificial intelligence (AI).

Feel free to contact me if you wish to discuss your data statistical analysis needs.

Programming Languages: R - SAS (Base, STAT, Macro, SQL, IML, GRAPH) - Python

Environments & Software: SAS Enterprise Guide - Notepad++ - Microsoft Office - Zotero

Data Management & Structuring: Relational Databases (SQL, data management) - SQL Queries - Data Structuring and Validation - Spatial Mapping and Data Visualization

Statistical Analysis: ANOVA - Hypothesis Testing - Chi-squared Test - Confidence Interval Estimation - Probability Calculation - Simulation and Bootstrap

Statistical Modeling: Generalized Linear Models (GLM) - Linear Regression - Logistic Regression - Poisson Regression - Cox Model (Survival Analysis) - GLMM (Generalized Mixed Models) - Hierarchical Bayesian Models - Bayesian Inference - Smoothing Splines

Data Science & Machine Learning: Data Mining - Predictive Model Development - Cross-Validation - Performance Evaluation (AUC, Sensitivity, Specificity) - Algorithms and Data Structures (SNDS)