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.

Languages

English
Native or bilingual
Hindi
Fluent
French
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

Celsius Energy(start-up), SLB
Senior Modeling & Digital Development Engineer.
October 2019 - June 2025 (5 years and 8 months)
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
March 2014 - September 2019 (5 years and 6 months)
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
November 2011 - February 2014 (2 years and 3 months)
Cambridge, UK
• ● Designed high-performance numerical methods improving multiphase-flow detection accuracy by ~70%. Developed optimization algorithms for subsea pump systems.