Freelancer profile translated to English.
Back to original languageAbout Yacine
Doctor in spatial statistics (Paris-Saclay), researcher at École des Mines de Paris, I transform geolocated data into strategic decisions for companies.
My expertise covers spatial predictive modeling, flow analysis, and territorial optimization. I have developed solutions to process millions of geolocated data points and create scalable prediction models.
What I bring:
- Location intelligence: analysis of influence zones, optimization of territorial grids, flow prediction
- Advanced geomarketing: predictive models for geographic targeting, trade area analysis
- Predictive mapping: intelligent visualizations and spatio-temporal models
- Big data: processing millions of geolocated points with scalable Bayesian methods (Vecchia, SPDE)
- Uncertainty quantification: rigorous approaches for decision-making
Technologies: R (VecchiaCensored package), Python, PostGIS, Gaussian processes, kriging, multivariate models.
Sectors: geomarketing, retail (grids & trade areas), environment, urban mobility, public health, real estate.
I am looking for projects where my spatial modeling expertise solves business problems: optimizing your network's location, predicting your customer flows, or transforming your geolocated data into a competitive advantage.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Mines Paris - PSLPostdoctoral ResearcherRESEARCHJanuary 2024 - Today (2 years and 5 months)Fontainebleau, FrancePostdoc at École des Mines de Paris. Geostatistical modeling on big data: spatial prediction on millions of observations via Vecchia and SPDE methods. Rare expertise on censored and thresholded data (detection limits, truncated values). Author of scientific publications and creator of the R package VecchiaCensored.
- Université Gustave EiffelPhD in GeostatisticsRESEARCHOctober 2020 - December 2023 (3 years and 2 months)Versailles, FrancePhD in spatio-temporal geostatistics (Paris-Saclay). Expertise in kriging, variogram modeling, and statistical downscaling. Development of hierarchical models coupling multi-source data (sensors, numerical models, environmental covariates). Adaptation of the Vecchia approximation to efficiently handle millions of observations. Mastery of GAMs, neural networks, and kriging with external drifts.
- Université Gustave EiffelGeostatistics EngineerRESEARCHMarch 2019 - September 2020 (1 year and 6 months)Versailles, FranceResearch engineer in geostatistics (Paris-Saclay). Predictive mapping with uncertainty quantification for decision-making. Kriging, variograms, spatial interpolation. Fusion of heterogeneous data and bias correction. Optimization of the measurement network to maximize estimation reliability.
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Education
- PhD in Applied StatisticsParis-Saclay University2023PhD in Applied Statistics
- Master's Degree in MathematicsParis Descartes University2019Master's Degree in Mathematics