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Imperial College London
Data Scientist
June 25, 2026 – Present
canon
May 11, 2022 – November 9, 2025
Complete search Algorithms for Nonlinear OptimizatioN
View Projectdeus
November 19, 2019 – March 4, 2024
Design under Uncertainty using Sampling techniques
View Projectsugarcane
May 8, 2019 – May 8, 2019
This repository contains GAMS example files for the paper: Risk-Conscious Optimization Model to Support Bioenergy Investments in the Brazilian Sugarcane Industry, Applied Energy Volume 258, 113978 (DOI: 10.1016/j.apenergy.2019.113978)
View Projectsmr
April 10, 2018 – November 5, 2019
This repository contains GAMS example files for the paper: Set-Membership Nonlinear Regression Approach to Parameter Estimation, Journal of Process Control, Volume 70, Pages 80-95 (DOI: 10.1016/j.jprocont.2018.04.002)
View Projectcronos
May 1, 2017 – October 7, 2025
Library implementing simulation and relaxation techniques for nonlinear systems
View Projectmcpp
April 26, 2017 – December 13, 2025
Library for construction, manipulation and evaluation of factorable functions
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in optimization, mathematical modeling, and scientific computing, primarily using C++, Python, and GAMS. While this demonstrates deep expertise in a specific domain, the breadth of exposure to typical data science tools and methodologies (e.g., machine learning frameworks, big data technologies, cloud platforms, A/B testing, statistical modeling beyond optimization) is limited. This specialization might indicate a strong fit for research-heavy or optimization-focused data science roles but could be a cultural mismatch for broader, product-oriented data science teams requiring diverse skill sets and rapid iteration.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong research-oriented mindset and an ability to work on complex, long-term problems. The focus on personal projects indicates self-motivation and initiative. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, communication, or stress handling. The operational fit appears strong for roles requiring deep analytical and quantitative skills.