
Developer @ Aspecta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspecta
Data Scientist
June 25, 2026 – Present
AspectJ-Theme-Doc-Theme-UML
November 1, 2023 – November 6, 2023
AspectJ-Theme-Doc-Theme-UML — GitHub repository
View Projectaspectpy
November 1, 2023 – December 12, 2023
University project to try to replicate AspectJ constructs in Python
View ProjectPyDataSplit
May 19, 2023 – May 19, 2023
PyDataSplit is a Python script for splitting, balancing, and augmenting image datasets for deep learning.
View Projectpix2pix-maps
April 24, 2023 – May 6, 2023
pix2pix for Maps to Satellite Image Translation for the Neural Networks course @ FIIT STU
View Projectevery-resnet-tensorflow
April 12, 2023 – October 8, 2023
Tensorflow 2 implementations of ResNet-18, ResNet-34, ResNet-50, ResNet-101, and ResNet-152 from Deep Residual Learning for Image Recognition by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun (2015)
View Projectcnn-affect-recognition
March 27, 2023 – May 19, 2023
Convolutional Neural Network in Tensorflow for Affect Recognition for the Neural Networks course @ FIIT STU
View ProjectMLP-Fashion-MNIST
February 16, 2023 – March 28, 2023
Simple MLP implementation in Tensorflow and PyTorch for the Neural Networks course @ FIIT STU
View Projectpersonal-site
January 31, 2023 – February 16, 2023
My personal site written in SvelteKit and hosted on Netlify
View Projectfirma-tibor-modroczky
July 6, 2022 – Present
Flask Web Application for Firma Tibor Modroczky hosted on PythonAnywhere
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards academic and personal exploration in machine learning, which aligns with a research-oriented or innovative data science culture. However, the lack of team-based projects or professional experience beyond a current role with no specified duration makes it difficult to fully assess cultural fit. The current role as 'Data Scientist' at 'Aspecta' is a positive indicator, but without details, its impact on cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.