Dr. François Collin

Experienced data scientist, I provide consulting service: the execution of data mining strategies, provision of advises or supplying training. Master of applied statistics, doctor in Plant Sciences, I have already faced a wide range of data challenges, I have learned techniques, improved my skills, tested my methods and approaches.

Development of a R-base suite, from design to execution, for statistical analysis of clinical data. - R for visualization: ggplot2, grid, ShinyApps. - R for statistics: mixed models (MMRM), survival analysis, focus on binary responses. - Tech: git, GitHub, R, Docker, Jenkins and much more. - Methods: git-branching workflow, containerization, CI/CD, Agile, team conventions. - Auto-evaluation: large autonomy (self assignment), proactive attitude was encouraged to come with new ideas, prototypes and designs.

Expert statistics: - Lung cancer - transcriptome profile for predictions (Machine learning). - Multiple Sclerosis - observational study and survival analysis for clinical decision support. - Teaching: 8-hour practical for RNA-seq data analysis, PhD student co-supervisor.

Improvement of market-leader Farmstar: satellite-image based management of wheat crops. - Advanced statistical methods: statistical predictive models, geographical information system, visualisation, classification + factorial analysis. - Acquisition of new data and conception of a relational database (PostgreSQL) - Conception of automated reporting tools for decision making during production. - Communication to internal decision-makers and Airbus partner, writing of detailed R&D doc

Applied statistics: protocol design, stat. modelling, network trial study, machine-learning. Project: 1 meta-analysis + 3 experiments, 3 years, 2 countries, 3 institutes. Production: conferences, peer-review articles, English-written thesis.

Statistics applied to various fields included but not restricted to crop sciences, chemistry, text analysis, food industry, crop sciences.