Freelancer profile translated to English.
Back to original languageAbout Nicolas
Freelance Data Scientist, I will help you make sense of your data.
With a scientific background (PhD in Biology) and 7 years of experience in data analysis in ecological research, I possess skills in statistics, programming, and machine learning.
Passionate about data analysis, I enjoy working on diverse problems and contributing to collective projects. Curious and open-minded, I have experience with heterogeneous data and can address a wide range of issues: statistical evaluation, identifying trends or clusters, and building predictive models.
I have project management experience gained during my roles within research teams. If necessary, I can assist you in defining your project and assessing what is feasible with your data types. Specifically, I can propose relevant technical solutions whether you have large or small datasets.
I can support you throughout your project or assist with a specific aspect. Do not hesitate to contact me to discuss how I can help you.
Expertise
• Scoping: project definition, solution proposal
• Data extraction and cleaning
• Analysis and decision support: statistics, hypothesis testing, uncertainty quantification
• Exploration: identifying trends, causal relationships, clusters
• Predictive models: Machine learning, prototyping
• Reporting and visualization: scientific writing (French/English), charts
Tools
• Languages: R, Python, SQL
• Statistics: ANOVAs, correlations, Bayesian analysis, modeling
• Segmentation: PCA, K-means, fuzzy approaches
• Machine learning: SVM, Random Forest, ensemble methods, Gradient boosting
• Deep Learning: Neural networks, Transfer learning
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- CNRSContract ResearcherRESEARCHJanuary 2014 - December 2017 (4 years)Rennes, FranceSatellite mapping of the Poitevin marsh meadows• Clustering of meadows based on plant and spectral characteristics• Supervised classification of satellite image pixels using machine learning• Evaluation of accuracy using a fuzzy (probabilistic) confusion matrixLanguage: R | Methods: PCA, co-inertia, fuzzy c-means, SVM, Random Forest
- INRAContract ResearcherRESEARCHApril 2013 - November 2013 (8 months)Clermont-Ferrand, FranceMethod for evaluating an indicator of meadow biodiversity potential- Collection of biodiversity data from European meadows- Standardization of measurements from different datasets- Comparison of observations with the score predicted by the indicator- Construction of a statistical testLanguage: R | Methods: Data exploration and cleaning, metric standardization, Confidence interval, statistical test
- INRAContract ResearcherRESEARCHDecember 2009 - January 2010 (2 months)Clermont-Ferrand, FranceForecasting forage maturity (grass population)• Distribution analysis (modalities)• Detection and discrimination of the two fractions of a population• Linear regression of the average score of a population fraction as a function of timeLanguage: R | Methods: Distribution fitting, AIC, linear regression
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Education
- Data Scientist PathOpenClassrooms2019Parcours diplômant de Data Scientist nécessitant la réalisation de projet de machine learning: - Analysez des données nutritionnelles (Analyse exploratoire) - Développez un moteur de recommandations de films (Distances et similarités) - Anticipez le retard de vol des avions (modèles de régressions linéaires) - Segmentez les comportements de clients (modèles de classification supervisés) - Catégorisez automatiquement des questions (Natural Language Processing) - Réalisez des indexations automatiques d’images (Réseau de neurones convolutif) - Développez une preuve de concept (POC)
- PhD in BiologyUniversity of Rennes 12006Thèse: Hétérogénéité de la végétation et du pâturage : conséquences fonctionnelles en prairie humide