Maxime Lemarignier work email
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Maxime Lemarignier personal email
EPFL graduate, data scientist, entrepreneur, data specialist and company architect. Past part-time independent mobile developer with 1.5M+ downloads. I love new challenges, data analysis and elegant solutions.
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Ml Scientist IiExpedia GroupGeneva, Switzerland -
Ml Scientist IiExpedia Group Jun 2024 - PresentProduct and Technology - Supply -
Data Scientist IiExpedia Group Feb 2024 - Jun 2024Genève, SuisseLodging Operations Analytics -
Data ScientistExpedia Group Sep 2022 - Jan 2024Genève, SuisseLodging Core Operations -
Entrepreneur & Software EngineerFresh Apps Dec 2017 - PresentDuring my studies I developed 8 mobile apps that were downloaded 1.6 million times. The Fresh Apps company I created to manage the apps generated a 35,000 CHF annual revenue at its peak.I designed, developed from scratch then released the apps on the Play Store. The first apps were developed in Java, and when Kotlin became the new reference I learned the language and used it to develop the new ones. The revenue was mainly (80%) generated through advertising spaces that were sold… Show more During my studies I developed 8 mobile apps that were downloaded 1.6 million times. The Fresh Apps company I created to manage the apps generated a 35,000 CHF annual revenue at its peak.I designed, developed from scratch then released the apps on the Play Store. The first apps were developed in Java, and when Kotlin became the new reference I learned the language and used it to develop the new ones. The revenue was mainly (80%) generated through advertising spaces that were sold to Google, Facebook and Twitter. The rest of the revenue (20%) originated from in-app purchases. Thanks to this company I was able to completely finance my studies independently. Show less -
Data ScientistRolex Feb 2021 - Aug 2022Genève, SuisseAdministrator and Supervisor of the Production division's data collection and exploitation Platform :- Data acquisition and construction of industrial data flows- Big data processing, storage and provision- Data analysis and visualisation, process control- Implementation and management of industrial predictive modelsDevOps - MLOps Team :- Deployment and maintenance of Machine Learning models in production- Integration and testing of data science development… Show more Administrator and Supervisor of the Production division's data collection and exploitation Platform :- Data acquisition and construction of industrial data flows- Big data processing, storage and provision- Data analysis and visualisation, process control- Implementation and management of industrial predictive modelsDevOps - MLOps Team :- Deployment and maintenance of Machine Learning models in production- Integration and testing of data science development environments and toolsEnterprise Architecture Team :- Integration of the Data and Data Science plaforms into the Rolex ecosystem- Evolution of the architecture to make it more Data Science oriented- Establishment of Data and Data Science norms and standards- Integration of existing and new equipment Show less -
Data, Analytics & Ai InternSwisscom Mar 2020 - Sep 2020BernMaster Thesis - "Swisscom Mobile Network Parameter Estimation and Tuning using Deep Learning"I designed and implemented a deep learning pipeline that is now used on a national level to help calibrate cells of the Swisscom LTE network and optimize their performance. The neural network model that I created produced calibration recommendations that were on expectation better and more creative than the ones of the experts. This model is now in production and used as the basis for an… Show more Master Thesis - "Swisscom Mobile Network Parameter Estimation and Tuning using Deep Learning"I designed and implemented a deep learning pipeline that is now used on a national level to help calibrate cells of the Swisscom LTE network and optimize their performance. The neural network model that I created produced calibration recommendations that were on expectation better and more creative than the ones of the experts. This model is now in production and used as the basis for an assistance tool for the Swisscom experts.To build the model I used PySpark to preprocess around 1 Terabyte of data on the Swisscom clusters. The data was then ingested by a deep neural network model I implemented with Pytorch. I collaborated with the EPFL Deep Learning lab to design the architecture of the model. Show less
Maxime Lemarignier Skills
Maxime Lemarignier Education Details
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Communication Systems -
Mention Très Bien - Félicitations
Frequently Asked Questions about Maxime Lemarignier
What company does Maxime Lemarignier work for?
Maxime Lemarignier works for Expedia Group
What is Maxime Lemarignier's role at the current company?
Maxime Lemarignier's current role is ML Scientist II.
What is Maxime Lemarignier's email address?
Maxime Lemarignier's email address is ml****@****dia.com
What schools did Maxime Lemarignier attend?
Maxime Lemarignier attended Ecole Polytechnique Fédérale De Lausanne, Ecole Polytechnique Fédérale De Lausanne, Lycée International Des Pontonniers.
What skills is Maxime Lemarignier known for?
Maxime Lemarignier has skills like Java, Python, Scala, Android, Machine Learning, Analyse Statistique, Intelligence Artificielle, Apprentissage Automatique, C, Oracle Database, Sql, Apache Spark.
Who are Maxime Lemarignier's colleagues?
Maxime Lemarignier's colleagues are Anemona Atm, Lakshay Jain, Kelsie N., Ghada Al-Harbi, Ioannis Koutsopoulos, Chris Helmin, Gitanjali Bhainsora.
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