Viktor Modroczký

Data Scientist

https://talent.gravityer.com/viktor-modroczky

Developer @ Aspecta

Aspecta

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through multiple personal projects (pix2pix-maps, every-resnet-tensorflow, MLP-Fashion-MNIST, cnn-affect-recognition).
Experience with popular ML frameworks like TensorFlow and PyTorch.
Familiarity with Python for data science and general programming.
Exposure to image processing and computer vision concepts.

Cultural & Operational Fit

Cultural 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.

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Assessing your cultural and operational fit

Projects

AspectJ-Theme-Doc-Theme-UML

November 1, 2023 – November 6, 2023

AspectJ-Theme-Doc-Theme-UML — GitHub repository

View Project

aspectpy

November 1, 2023 – December 12, 2023

University project to try to replicate AspectJ constructs in Python

View Project

PyDataSplit

May 19, 2023 – May 19, 2023

PyDataSplit is a Python script for splitting, balancing, and augmenting image datasets for deep learning.

View Project

pix2pix-maps

April 24, 2023 – May 6, 2023

pix2pix for Maps to Satellite Image Translation for the Neural Networks course @ FIIT STU

View Project

every-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 Project

cnn-affect-recognition

March 27, 2023 – May 19, 2023

Convolutional Neural Network in Tensorflow for Affect Recognition for the Neural Networks course @ FIIT STU

View Project

MLP-Fashion-MNIST

February 16, 2023 – March 28, 2023

Simple MLP implementation in Tensorflow and PyTorch for the Neural Networks course @ FIIT STU

View Project

personal-site

January 31, 2023 – February 16, 2023

My personal site written in SvelteKit and hosted on Netlify

View Project

firma-tibor-modroczky

July 6, 2022 – Present

Flask Web Application for Firma Tibor Modroczky hosted on PythonAnywhere

View Project

c-genetic-algorithm

June 26, 2022 – June 26, 2022

Genetic Algorithm implemented in C

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through multiple personal projects (pix2pix-maps, every-resnet-tensorflow, MLP-Fashion-MNIST, cnn-affect-recognition).
Experience with popular ML frameworks like TensorFlow and PyTorch.
Familiarity with Python for data science and general programming.
Exposure to image processing and computer vision concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Viktor Modroczký

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit