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Assessing your cultural and operational fit
anomaly-detection-cow-behavior
September 15, 2025 – Present
anomaly-detection-cow-behavior — GitHub repository
View ProjectOperativoAppInstallConsole
August 12, 2024 – October 18, 2024
OperativoAppInstallConsole — GitHub repository
View ProjectSmartCityBikeDemandML
May 19, 2024 – May 20, 2024
This repository contains the code and data for my Bachelor's thesis on predicting bike-sharing demand in Smart Cities using machine learning. Key features include data preprocessing, feature engineering, model training and evaluation, and geospatial analysis.
View Projectbike-sharing-thesis-docs
March 20, 2024 – March 20, 2024
bike-sharing-thesis-docs — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and initiative. The diversity of technologies used across projects (Python, Kotlin, Dart, C++, JavaScript, etc.) suggests a willingness to explore different domains, which can be a positive for cultural fit in dynamic environments. However, the lack of professional experience or team-based projects makes it difficult to fully assess collaboration and adaptability. The projects align with the target role of Data Scientist, particularly 'SmartCityBikeDemandML' and 'anomaly-detection-cow-behavior', indicating a focused interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.