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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ecos-2024-template-paper
February 22, 2024 – May 24, 2024
Latex template for an ECOS 2024 manuscript
View Projectheat-pumps-tespy-exergy
April 28, 2023 – January 3, 2024
heat-pumps-tespy-exergy — GitHub repository
View Projectadex-ptes
March 9, 2023 – January 22, 2025
Python code for the simulation and advanced exergy analysis of a PTES consisting of a very high temperature heat pump and a transcritical organic Rankine cycle - based on the simulation methodology of TESPy.
View ProjectTESPy_teaching_exergy
November 22, 2022 – June 29, 2023
Open Source Engineering Course on Exergy Analysis using TESPy
View ProjectChemical-Exergy-in-TESPy
January 26, 2022 – June 2, 2022
Chemical-Exergy-in-TESPy — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and research-oriented, focusing on engineering thermodynamics and energy systems. This indicates a strong fit for roles requiring deep analytical skills and a scientific approach to data. The consistent use of Python and Jupyter Notebooks aligns with common data science toolchains. However, the lack of diverse project types (e.g., web applications, machine learning models, business intelligence) might suggest a narrower scope of experience, which could impact cultural fit in more generalist data science roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief and do not provide insight into collaboration, problem-solving approaches, or communication style.