Alexandre Sureda Croguennoc

Data Scientist

https://talent.gravityer.com/alexandre-sureda-croguennoc

Msc in Atomistic and Multiscale Computational Modelling in Physics, Chemistry. Working as a Computational Physicist in the field of nuclear fusion.

IDOM Consulting

Key Strengths

Strong background in scientific computing and simulation, evidenced by numerous projects involving molecular dynamics, Monte Carlo methods, and statistical analysis.
Proficiency in Python, Fortran, and Julia, which are valuable for data science roles, especially in scientific or research-oriented domains.
Experience with Jupyter Notebooks for data analysis and presentation.
Familiarity with parallel computing concepts (MPI) and containerization (Dockerfiles).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in scientific computing, physics, and simulation, which aligns well with a data scientist role in a research-heavy or scientific organization. However, the lack of diverse business-oriented projects or experience outside of academic/scientific simulations might indicate a narrower scope of experience for general data science roles. The single listed professional experience as 'Data Scientist' is current and lacks details, making it difficult to assess alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong focus on technical problem-solving and scientific research.

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Projects

DepletionPlotter

March 6, 2024 – March 6, 2024

Postprocess tool for analyze depletion results for OpenMC simulations.

View Project

Nucleation_Dynamics

January 25, 2024 – August 19, 2024

Cluster Dynamics solving the Master Equation for Nucleation

View Project

PyCorrMC

June 4, 2023 – June 4, 2023

Statistical Analysis of Monte Carlo time series

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Ising-Model

May 21, 2023 – June 5, 2023

Equilibrium Monte Carlo simulation of the 2D Ising model

View Project

Kuramoto-Model

May 21, 2023 – May 21, 2023

Linear Stability Analysis of the Kuramotomodel with noise

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Monte-Carlo-Epidemics

May 21, 2023 – May 21, 2023

Monte Carlo SIR model with different scenarios

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Molecular-Dynamics-homework

May 21, 2023 – May 21, 2023

Molecular Dynamics Homework of the Msc in Atomistic and Multiscale Computational Modelling in Physics, Chemistry and Biochemistry

View Project

Dockerfiles

May 15, 2023 – May 15, 2023

Dockerfiles — GitHub repository

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ParallelMolecularDynamics

April 26, 2023 – February 9, 2024

NVT molecular dynamics simulation using MPI algorithms

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coarse_grain_polyelectrolyte

June 14, 2021 – May 2, 2023

Influence of charge regulation on conformational ,ionization properties and dynamics of polyelectrolytes

View Project

Key Strengths

Strong background in scientific computing and simulation, evidenced by numerous projects involving molecular dynamics, Monte Carlo methods, and statistical analysis.
Proficiency in Python, Fortran, and Julia, which are valuable for data science roles, especially in scientific or research-oriented domains.
Experience with Jupyter Notebooks for data analysis and presentation.
Familiarity with parallel computing concepts (MPI) and containerization (Dockerfiles).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong focus on technical problem-solving and scientific research.

Alexandre Sureda Croguennoc

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit