Data leaders community (Slack, Medium, Live and offline events and meetups)700+ members

Aircall is a B2B cloud-based phone system for business that integrates seamlessly with popular productivity and helpdesk tools.The data team act as a company enabler for Aircall's growth, generating quantitative insights. The team's role is transversal and full stack (data engineering and data analytics on multi-verticals) to support Aircall's development and make it the reference solution for business telephony.[Technology: aws, docker, Airflow, dbt, Looker, Fivetran]

Valeo is a French global automotive supplier of more than 100k people in 30 countries.Valeo Service data science, acting as a technological transformer of aftermarket and then R&D activities.The main challenge was to simultaneously release the AWS datalab, build a partners ecosystem and to create enriched services through production-ready models (processes improvements, new offer creation) under strong time constraint.- set up of the cloud datalab in AWS, serverless and secured environment to be used by data scientists- led proof of concept and deployment of 4 projects on spare parts pricing elasticity, demand forecasting, connected vehicles monitoring and automotive market insights- build start-ups & partners to build a predictive maintenance offer- Valeo operational referent of the Big Data chair with Telecom ParisTech[Technology: aws (Glue, Athena, Batch), cloudformation, docker, python, Tableau Sofware]

Deezer is a music streaming platform with freemium business model. 14M active users in 180 countriesPart of a team of 8 people responsible for the understanding of the user life cycle.- Acquisition: performance measurement and optimisation of traffic acquisition expenses (online/offline/B2B) to maximize ROI- Conversion: Analysis of conversion levers for the renegotiation of right exploitations of the musical catalog- Data engineering: deployment of a scheduling tool to improve workflow reliability[Technology: python, hive, sql, pig, Tableau Software]

(Internship: April 2013 - October 2013 / Permanent contract since October 2013)Part of the Advanced Knowledge Discovery Service at Deloitte Consulting - created through the acquisition of a start-up specialized in the development of proprietary machine learning algorithms (10 people)Created joint offers (consulting + data science) and helped customers leveraging their data through descriptive and predictive analyses.- Financial Industry: online banking customer experience analysis, NPS prediction, customer segmentation, pricing elasticity modelling for targeted promotions- Consumers Products: optimization of workforce repartition, media mix planning in cosmetic industry, fragrance formula for perfume creation- International collaboration within the Deloitte Network, (UK, Japan, US) that led to 5 missions[Technology: python, R, Bash, Tableau Software]

Dataveyes is a start-up building visual tools and interfaces to address new uses and information problems that arise from the massive amount of data. https://dataveyes.com/enParticipation to framing and development of projects:- Talent management tool for a leading french company (energy)- Open data interface for Rennes Metropole[Programming in php, python, javascript]

(Internship)- Database creation and associated reporting tool- Building a provisions for claims outstanding predictive model- Result diffusion

(Fixed term contract)- Customer relationship- Financial process consulting