Nicolas Frot

- Data science support to 10 projects at TOTAL SA (over a 1-year mission)
- Trained more than 150 employees to "Data Science Basics" and "Data Vizualisation"
- Organization of a Data Science challenge at Engie: use case selection with business teams, development of a predictive
model as a reference, setting a custom evaluation metric, analysis of the top Challengers solutions
- Gradient Boosting model to predict damage frequency & amount for suscribers in a car insurance company (Python)
- Development of an evaluation tool for anomalies detection models in time series at TOTAL SA: polluted time series
generation, evaluation with AUC ROC or F1 score, report generation, packaging (Python, R)
- Named-entity recognition in R&D contracts at TOTAL (python)
- Led a 4-days training course « Spark Developper » (Coursera)
- Participated in the writing of commercial proposals
- Led HR interviews

- Machine Learning and data anaylises for Product & Content Management (Scikit Learn)
- Dashboarding for product performance analyses and decision tools (KPIs definition, data processing, data vizualisation, presentations) (Pig, Spark, Python, Tableau)
- developped an algorithm aimed at optimizing playlist creation

In charge of RTB/Retargeting performance analyses in the e-Commerce industry:
- Model optimizations for Real Time Bidding
- Dashboarding and ETL for Business & technical analyses (QlikView, SQL)
- Creation of a tool for pricing optimization on retargetting campaigns + development + training