Description

Senior Quantitative Modelling Expert | Python · ML · Numerical Methods | PhD | CQF 2026

PhD-level quantitative modeller with 13+ years delivering production-grade ML, PDE-based, and stochastic models at SLB. Patent holder. CQF 2026. Available for freelance missions in quantitative modelling, data science, forecasting, and algorithmic strategy across energy, finance, and tech sectors.

I am a senior quantitative modelling expert with a PhD in Computational Sciences (University of Michigan) and 13+ years of experience designing, building, and deploying complex mathematical models in production environments at SLB, one of the world's largest technology companies.

My expertise spans numerical methods, stochastic modelling, Monte Carlo simulation, PDE-based algorithms, machine learning pipelines, and optimisation — applied to real-world problems with direct commercial impact. I hold a granted patent for a hybrid ML and physics-based auto-calibration model (2025), have published in peer-reviewed international journals, and have presented as an invited keynote speaker at European and international conferences.

I am currently completing the Certificate in Quantitative Finance (CQF, 2026 cohort), deepening my expertise in derivatives pricing, quantitative risk, time series analysis, and algorithmic trading strategies.

Langues

Anglais
Bilingue ou natif
Hindi
Capacité professionnelle complète
Français
Capacité professionnelle limitée

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Celsius Energy(start-up), SLB
Senior Modeling & Digital Development Engineer.
octobre 2019 - juin 2025 (5 ans et 8 mois)
Paris, France
• ● Led development of ML, simulation, and optimization models contributing to $30M+ business value. Recruit and grow Modeling team, manage cross functional collaborative projects
• ● Pioneered an iterative method based inversion algorithm for heat-diffusion problems; generated $150k/installation globally
• ● Delivered optimization solutions with heat district networks models by reducing 10% geo-wells CAPEX of $120k
• ● Developed production-grade ML pipelines and Databricks workflows generating $1M/year revenue. Created digital twins, surrogate models, and automated forecasting tools for performance optimization
Geoservices, SLB
Senior Interpretation & Algorithm Development Engineer
mars 2014 - septembre 2019 (5 ans et 6 mois)
France
• ● Developed real-time PDE-based models increasing accuracy by 90% and reducing false alarms by 60%. Built ML-assisted calibration models and decision-support tools reducing NPT by 40%.
• ● Performed Monte Carlo uncertainty quantification integrated into commercial drilling software for a new service offering
• ● Supervised a PhD thesis in the development of mud flowmeter; Achieved an accuracy of 95% with 20x cheaper solution
SLB Cambridge Research
Research Scientist
novembre 2011 - février 2014 (2 ans et 3 mois)
Cambridge, UK
• ● Designed high-performance numerical methods improving multiphase-flow detection accuracy by ~70%. Developed optimization algorithms for subsea pump systems.