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Computer Science master student from EPFL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Distributed-Hash-Table
June 22, 2020 – June 22, 2020
DHT implementation created for the course "System Programming Project"
View ProjectXBlast-2016
June 15, 2020 – June 22, 2020
XBlast game created for the course "Practice of object-oriented programming"
View ProjectMachineLearning2019
October 1, 2019 – January 3, 2020
Projects for CS-433 Machine Learning course at EPFL
View ProjectUndeaf
March 8, 2019 – March 10, 2019
ML driven solution to help deaf people to express their ideas to the world
View Projectgen-rest
February 20, 2018 – February 27, 2019
A tool to generate automatically OpenAPI specification from a service model
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, academic-style projects, indicating a self-driven learning approach. The diversity of technologies suggests an openness to explore different domains. However, the descriptions are brief, making it difficult to assess collaboration or team-oriented contributions. The target role is 'Data Scientist', and while there are relevant ML/Python projects, the overall portfolio is very broad, not deeply specialized in data science, which might impact immediate cultural fit within a focused data science team without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.