Grégoire David

Data Engineer at Pennylane

Grégoire David has a diverse work experience in various roles and industries. Grégoire is currently working at Pennylane as a Data Science Team Lead since February 2022. Prior to that, they worked as a Data Scientist at Pennylane from September 2020 to January 2022.

Before joining Pennylane, Grégoire worked at Booking.com, where they held multiple positions. From July 2018 to June 2019, they worked as a Data Scientist ML, developing machine learning algorithms and evaluating their impact on personalization strategies. Grégoire also designed and implemented metrics to support new products and strategies. From January 2018 to June 2018, they served as a Data Scientist/Team Lead, leading a team of 4 Data Scientists and Analysts. In this role, they maintained and improved a hotel pricing algorithm, provided forecasts and impact studies, and created and maintained Big Data pipelines. From August 2015 to December 2017, they worked as a Data Scientist in a similar capacity.

Grégoire David started their career at PriceMatch as a Marketing Analyst, where they supported the sales team with performance analytics and marketing content. Grégoire also implemented an email automation tool and maintained the company's CRM.

Grégoire has also worked at Ville de Paris as a Management & Finance Controller, at Sciences Po as a Data Analyst, at Attali&Associés as a Consultancy Intern, and at Ecole Polytechnique (Department of economics) as a Research Intern.

Overall, Grégoire David has a strong background in data science, including machine learning, analytics, and data engineering. Grégoire has experience in the hospitality, marketing, government, and education sectors.

Grégoire David earned a Master's Degree in Econometrics and Quantitative Economics from École Polytechnique from 2010 to 2012. Prior to that, they received a Master's degree in Economics from Sciences Po from 2007 to 2012. Additionally, they obtained certifications in Sequence Models, Structuring Machine Learning Projects, and Neural Networks and Deep Learning from deeplearning.ai in 2017 and 2018.

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