Vivien Mallet — Data science & digital services

I develop data-based digital services. I can help organizations to create better models for analysis, prediction or risk assessment using data science. I am used to applications in environment and more recently in accounting and audit. I am fully open to other fields.

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Data science, prediction models, data assimilation, meta-modeling, uncertainty quantification

Services

Prediction models

Regression or interpolation models, possibly with high-dimensional inputs and outputs. Design of experiment. Machine learning, statistical models. Databases of observations or model simulations. Online learning. Probabilistic forecasts.

Data assimilation

Merging various data sources, especially numerical simulations and field observations. Uncertainty quantification. Design of experiment. Meta-modeling, possibly with improved accuracy using field observations.

Digital services

Development of complete online services, especially backend APIs or scheduled processing for advanced data-based computations.

Consulting

Analysis of potential usage of databases in view of new products. Roadmap for the application of existing approaches to your use case.

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Illustrative projects

Below are example projects in complex environmental fields involving high-dimensional spatio-temporal data, observation networks and high uncertainties.