About Me
Hi! My name is Eric Roseren, I am currently a Machine Learning researcher in the field of digital transformation for manufacturing companies also called Industry 4.0. I have an applied mathematics and statistics background and my expertise is in data analytics, statistical and machine learning modelling.
I am a passionate Data Scientist and have been working in the data science field for the last 2 years. I hold a Machine Learning Researcher position at the Luxembourg Institute of Science and Technology (LIST) where I contribute to the digitalisation of various companies (mainly in the heavy metallurgic sector but also electricity network producers and insurance companies). I transitioned into data science from an applied mathematics and statistics background. What really excites me in this field is being able to leverage knowledge extracted from various sources of data and harness the latest state of the art algorithms to gain a more detailed understanding of a specific domain/application.
After growing up in Luxembourg, I decided to pursue my higher education in the U.K to study mathematics at the University of Southampton. After obtaining my BSc in Mathematics I went to the University of Edinburgh to study Data Science and Statistics where I gained significant experience in statistical programming, especially in Bayesian computation. I worked on my end of year Consultancy project under the supervision of Dr. Vanda Inacio De Carvalho. The project consisted on investigating the risk factors that contribute to liver cancer in the Scottish population. I collaborated with the Edinburgh Hospital where I used their electronic healtcare data to develop a joint modelling framework (a combination of a Mixed Model and a Survival Model) using the Bayesian paradigm for parameters inference.
Since June 2019 I joined LIST where my role is to support the digital transformation of Luxembourg industries.
Should you need any additional information, feel free to contact by message on LinkedIn.
You can download my resumé here
As an outdoor sport enthusiast, some of my free time is spent on exploring the Valais region on my bike, my skis or with my rope and my two feet!
- Machine Learning
- Computational Statistics (Baysesian Statistics)
- Exploratory Data Analysis (Shiny Dashboard, StreamLit)
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Master of Statistics and Data Science, 2018
University of Edinburgh
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BSc in Applied Mathematics, 2016
University of Southampton
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European Baccalaureate, 2011
European School of Luxembourg
Skills
Very good proficiency
Good proficiency
Good proficiency
Experience
Responsibilities include:
- Extraction, Transformation and Loading (ETL) of various data type and sizes stored in relational databases(IBM Db2, PostgreSQL).
- Exploratory Data Analysis of machinery data using visualisation tools such as R Shiny, StreamLit and libraries like ggplot2, matplotlib and seaborn.
- Modelling for regression, classification and clustering tasks using mainly caret, ranger, scikit-learn, keras and PyMC3.
- Interpretation of modelling results using diagnostic tools such as SHAP values, partial dependence plot and permutation feature importance.
Summer Laboratory internship undertaken at the University of Southampton as part of a partnership with Merck, Lily and Evotec.
- Developed a good understanding of organic synthesis principles and techniques by developing several drug compounds.
- In charge of the active supervision of the multi-step synthesis and results presentation.
Accomplishments
Recent Publications
Contact
- eroseren1@gmail.com
- Avenue des Hauts-Fourneaux, Esch-sur-Alzette, Esch 4362