Marius Bartcus
Data Scientist
Montalieu-Vercieu, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolMarius Bartcus is a Data Scientist and AI Engineer with a decade of experience bridging statistical machine learning research and production analytics across academia and industry. He holds a PhD in Computer Science focused on Bayesian and nonparametric mixture models and has applied deep learning to medical imaging, unsupervised analysis of bioacoustics, and large-scale co-clustering for telecom-scale data. At BASF he built end-to-end data products—APIs, automated pipelines and interactive Streamlit dashboards—to operationalize KPIs and geospatial analyses for seed production. Comfortable in fast-moving, cross-functional teams, he combines a software engineering background with strong statistical rigor to deliver pragmatic, reproducible solutions. Notably, his work spans both low-level algorithm design for high-dimensional unsupervised learning and hands-on implementation of user-facing tools, reflecting a rare full-stack data science profile. Based in France, he pairs technical leadership with clear communication and a continuous-improvement mindset.
10 years of coding experience
4 years of employment as a software developer
Master 2 (M2) - EID Exploration Informatique des Données et Décisionnel, Master 2 (M2) - EID Exploration Informatique des Données et Décisionnel at Université Paris 13AI Engineer Informatique, AI Engineer Informatique at OpenClassroomsInginéur en informatique (programmation appliquée et de système) Informatique, Inginéur en informatique (programmation appliquée et de système) Informatique at Université Technique de MoldavieResearch Doctorate Computer Science, Research Doctorate Computer Science at Univerisité de Toulon
French, English, Russian, Romanian, lituanien
Github Skills (19)
mixture-model8
mixture7
geospatial-visualization6
folium4
python4
segmentation4
simultaneous4
clustering4
streamlit3
visualization3
rendering3
geospatial3
time-series2
hidden2
multiple-regression2
Programming languages (2)
Github contributions (5)
fchamroukhi/mixRHLP_py
Oct 2018 - Feb 2019
A flexible mixture model for simultaneous clustering and segmentation of functional data (time series). It uses the EM algorithm (or a CEM-like algorithm).
Contributions:95 commits, 2 PRs, 5 pushes in 3 months
mixture-modelsegmentationcemem-algorithmclustering
mbartcus/me
Nov 2022 - Feb 2024
Contributions:131 pushes in 1 year 2 months
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