I am Morgan, a data analyst specialist, I bring a wealth of experience and knowledge in the field of data science. With over 5 years of intensive studies and 3 years of work experience, I have developed a deep understanding of the data analysis process and honed my skills in various key areas. I am highly proficient in programming languages and tools used for data manipulation and modeling.
In addition, my expertise in data visualization and insights generation enables me to effectively communicate complex data insights to both technical and non-technical stakeholders. I have a keen eye for detail and always strive to produce high-quality work that meets and exceeds client expectations.
Don't hesitate to contact me !
Université Grenoble Alpes | 2019 - 2021
This program teaches students to Master statistical and programming tools for the analysis of large databases while deepening statistical and machine learning concepts
Heriot-watt University | 2018 - 2019
This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analysing and interpreting real data required in the economy, industry and research.
Université de Bretagne Sud | 2018 - 2019
The objective of this Bachelor in Statistics is to acquire skills that cover the needs of companies in the field of statistical and computer processing of information.
IUT De Vannes | 2016 - 2018
The objective of this program is to train technicians specializing in statistics and business intelligence, capable of helping decision-makers adapt their strategy
Amazon | From November 2021
Improved outbound forecasts for EU warehouses by 3%. Developed item re-balancing process, optimizing storage and reducing costs. Satisfied stakeholder requests.
Amazon | March 2021 - August 2021 (6 months)
Enhanced Middle-miles Linehaul planning by integrating diverse data sources into the algorithm. Evaluated feasibility and performance, produced saving reports, and communicated with stakeholders.
LuggageHero | May 2020 – August 2020 (4 months)
Derived demand score from Google Maps API, Airbnb, Booking data. Helped partnership team pinpoint revenue per location with 85% accuracy. Created interactive maps.
Teagasc | April – June 2018 (3 months)
Developed grass estimation model predicting cow intake (62% accuracy) and lameness detection using pedometer data, selecting logistic regression model (error rate: 21%).
