Pinel Baudelaire Thowanou DAHOUI

Developing an AI system to automatically detect vaso-occlusive crises in sickle cell patients using image segmentation and CNN classification on clinical imaging datasets.

Built and deployed a portfolio optimization platform and developed AI-powered health/security and finance solutions integrating market APIs and interactive visualizations tailored to African markets.

Contributed to designing blockchain architectures for certification and auditability of AI decisions and implemented deep learning models for automated chest X-ray pneumonia diagnosis.

Delivered hands-on Python courses covering data cleaning, SQL, ML model training, evaluation, and unsupervised learning; served as teaching assistant for LaTeX, algorithms, and Python programming.

Achieved Silver Medal in the AirQo African Air Quality Prediction Challenge by building ensemble models to predict PM2.5 across eight African cities using satellite AOD and ground monitoring data.

Pursuing an MSc in Applied Statistics for Life Sciences with specializations in mathematical statistics, biostatistics, survival analysis, and research methodology.

Completed a Data Science & AI certification covering time series, SQL, data cleaning, linear and nonlinear models, NLP, and model evaluation.

Completed a certification in High-Performance Computing covering HPC clusters, parallel computing, and supercomputer environments for large-scale data analysis.

Completed a Data Science with Python certification focusing on Python-based data science workflows and tools.

Activities and societies: Used tools including Stata, R, and Python.

Completed a Bachelor of Science in Econometrics & Applied Statistics covering time series econometrics, probability and statistics, and financial mathematics.