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Assessing your cultural and operational fit
low_speed_aerodynamics_KatzPlotkin
November 18, 2021 – November 18, 2021
source code of the book Low Speed Aerodynamics by Katz and Plotkin
View Projectturbulence_2020
March 31, 2020 – April 8, 2020
notebooks turbulence modeling course uige 2020
View Projectcloud-based-cad-paper
February 2, 2020 – March 20, 2020
Ancillary material for the Cloud-based CAD parametrization for design space exploration and design optimization in numerical simulations
View Projectfirst-tutorial
January 17, 2015 – August 2, 2017
python-openfoam tutorials for postprocessing
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on aerodynamics, turbulence modeling, and data analytics tools. This indicates a strong inclination towards scientific computing and data-driven problem-solving. The diversity of technologies (Python, Jupyter Notebook, C++, Fortran, web technologies) suggests adaptability and a broad technical curiosity. However, without professional experience or team-based projects, assessing collaboration and broader cultural fit is challenging. The projects align well with the analytical and computational aspects of a Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.