Mohamed Henni

Freelance Subcontractor for Alsinova.

Member of the VxR&D GVGH GSK Italy team.

I am a statistician who turns data into clear, actionable insights. I collect, clean, and analyze data to identify patterns, test hypotheses, and support decision-making. Using statistical models and tools, I translate complex numbers into meaningful conclusions for businesses, research, or policy. I design experiments, assess risks, and ensure data accuracy and reliability. My work helps solve problems, optimize performance, and guide strategy by providing evidence-based answers. Whether working with large datasets or focused studies, I make information understandable and useful, helping others make informed decisions with confidence.

- Variance analyses and statistical tests

- Features selection

- Features engineering and augmentation

- Models selection and parameters optimization

- Ensemble predictions and sequential boosting algorithms

- Data visualization using various libraries (ggplot, plotly, ..)

- Development and deployment of Shiny applications (user interface and server logic) within company servers

- Redaction of reports and analyses using R Markdown and R Notebook

- Use of pre-trained classification and regression models with Keras and fine-tuning them for deployment

- Use of Reinforcement learning algorithms (Q-learning)

Build predictive models for bioassays using new statistical methodology to compare ELISA dose response curves.