Tivadar Danka

Data Scientist

https://talent.gravityer.com/tivadar-danka

Just an Eastern European punk who likes to build and teach.

Member since June 23, 2026

Key Strengths

Extensive personal project experience in Machine Learning and Deep Learning, indicating strong self-driven learning and practical application.
Proficiency in Python, PyTorch, and Jupyter Notebook, which are core technologies for a Data Scientist role.
Experience with active learning frameworks (modAL) and neural network implementations from scratch (neural-networks-from-scratch), demonstrating a deep understanding of ML algorithms.
Exposure to MLOps concepts through FastAPI and Dockerfile in fastAPI-ML-quickstart.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive personal projects, particularly those involving educational libraries and 'from scratch' implementations, suggest a strong passion for the field and a proactive learning attitude. This aligns well with a culture that values continuous learning and innovation. The diversity of projects, from active learning to deep learning architectures and MLOps, indicates a broad interest within the data science domain.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mathematics-of-machine-learning-book

April 10, 2025 – May 23, 2025

The official GitHub repository for the Mathematics of Machine Learning book!

View Project

mlfz

June 21, 2024 – Present

An educational machine learning library.

View Project

mathematics-of-machine-learning-preview

June 21, 2021 – June 21, 2021

mathematics-of-machine-learning-preview — repository

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pytorch-hooks-tutorial

April 29, 2020 – April 29, 2020

A crash course on PyTorch hooks

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relational-databases-from-scratch

April 19, 2020 – May 6, 2020

relational-databases-from-scratch — repository

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fastAPI-ML-quickstart

January 21, 2020 – January 28, 2020

fastAPI-ML-quickstart — repository

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hypocotyl-UNet

April 26, 2019 – December 2, 2020

hypocotyl-UNet — repository

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neural-networks-from-scratch

March 7, 2019 – April 19, 2021

An implementation of convolutional networks in NumPy!

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pytorch-UNet

January 17, 2019 – August 3, 2024

2D and 3D UNet implementation in PyTorch.

View Project

modAL

November 14, 2017 – February 26, 2024

A modular active learning framework for Python

View Project

Key Strengths

Extensive personal project experience in Machine Learning and Deep Learning, indicating strong self-driven learning and practical application.
Proficiency in Python, PyTorch, and Jupyter Notebook, which are core technologies for a Data Scientist role.
Experience with active learning frameworks (modAL) and neural network implementations from scratch (neural-networks-from-scratch), demonstrating a deep understanding of ML algorithms.
Exposure to MLOps concepts through FastAPI and Dockerfile in fastAPI-ML-quickstart.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Tivadar Danka

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit