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University of Oxford | InsurMagic | Computer Science & Economics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
keasy-bridge-releases
January 30, 2026 – Present
keasy-bridge-releases — GitHub repository
View Projectinsurmagic-desktop
May 10, 2025 – May 10, 2025
InsurMagic Desktop: An Electron-based insurance management app
View Projectsaas-einsparrechner
March 23, 2025 – March 24, 2025
saas-einsparrechner — GitHub repository
View ProjectML-course-2023
October 4, 2023 – November 23, 2023
This is the official repository for the STADS Machine Learning Course 2023.
View ProjectCoffee-Consumption-Research-Study
November 6, 2022 – November 6, 2022
The aim of this report is to investigate the effects coffee has on university students' sleep quality and the duration of their sleep
View ProjectWorkshop-Tool
October 30, 2022 – October 30, 2022
Tool built for a student assocociating to manage and accapt applications for workshops of partner comopanies
View ProjectSchool-Management-WebApp
October 23, 2022 – October 23, 2022
WebApp built with Python (Flask) to manage school staff, students and untis - interacts with a PostgreSQL Database
View ProjectAnyBloks-Multiplayer-Game
October 23, 2022 – October 23, 2022
The game AnyBloks is inspired by the board game blokus and is playable alone against Ai or against up to 3 real players that are in your network!
View ProjectWhich-Rules-Entail-This-Fact
July 11, 2022 – June 16, 2023
This research project is focused on creating an efficient solution for identifying rules which entail certain target facts given a set of rules and a knowledge graph using relational database technologies.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from machine learning and data analysis to game development and web applications. This breadth suggests adaptability and a willingness to explore different technical domains. However, the projects are primarily personal and academic, with no explicit team collaboration or professional experience mentioned, making it difficult to fully assess cultural fit in a corporate environment. The target role is 'Data Scientist', and while there are relevant projects, the overall portfolio is quite broad rather than deeply specialized in data science.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate an ability to work on diverse personal projects.