Florian Taillez

For a century, the Hungarian table has been used to calculate scores in combined events but it is not used to compare performances between disciplines due to its biases. This is why, for 3 years, I worked on a new scoring table using Python, APIs, the normal distribution, statistics, and physics to increase the understanding and therefore the attractiveness of athletics by putting performances on the same scale. European Athletics honored me by allowing me to present this project in English to World Athletics and tech companies from around the world.

-Automation of periodic deliveries on Business Object (saving of 1 FTE)

-Delivery of analyses requested by the administrative and medical departments of the CPAM

-Querying databases of 1.3 million health insurance members and their healthcare consumption over 5 years

-Software used: SQL, SAS, Python, Business Object, Excel, QGIS, Power BI, Tableau

-Study on medical desertification: it stems from the grouping of non-general practitioners in shared practices, concentrating them in the same municipalities (the winner takes all)

-Study on the feminization of doctors: the apparent laziness of female doctors has been refuted by the greater feminization of the profession among the younger generation. The latter attach more importance (men and women) to quality of life than to income, unlike older generations.

-Delivery of internal training to help colleagues make better use of Excel's features

-Fraud detection on a prejudice of 6 million euros in court (targeting, cross-referencing)

-Healthcare professional profiles: long SQL code to perform statistics on healthcare professional activity

-Segmented surveys on CAF affiliates in the Île-de-France region (half the population)

-Techniques and software used: surveys, segmentation, SPSS, Excel, SAS, SQL, MapInfo

-Meeting with local elected officials in Val-d'Oise to agree on the best statistics to deliver

-Gridding: project to map the territory by 200m² squares to reveal territorial inequalities between neighborhoods within the same municipality