Peter Kadar Email
Data Engineer @ Danske Bank
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Peter Kadar Location
- København, DK
Peter Kadar Work
- Data Engineer @ (September 2026 - Present)
- Senior Software Engineer @ (February 2025 - August 2026)
- Freelance Developer @ (October 2023 - October 2024)
- Senior Data Scientist @ (August 2021 - September 2023)
- Senior Data Scientist and Engineer @ (April 2020 - July 2021)
- Machine Learning Engineer @ (December 2016 - March 2020)
- R and D Developer (Global Graduate Programme) @ (September 2014 - August 2016)
Peter Kadar Education
- DTU - Technical University of Denmark
Master’s Degree (Mathematical Modelling and Computation)
2016-2019 - Budapest University of Technology and Economics
Bachelor’s Degree (Mechanical Engineering)
2011-2015
Peter Kadar Skills
- Amazon Web Services (AWS)
- Artificial Intelligence (AI)
- Azure Databricks
- Azure DevOps
- Backend
- Bash
- CI/CD
- CSS
- Causal Inference
- Computational Fluid Dynamics (CFD)
- D3.js
- Data Analysis
- Data Analytics
- Data Engineering
- Data Science
- Data Visualization
- Deep Learning
- FastAPI
- Git
- HTML
- Hadoop
- JavaScript
- Jupyter
- Keras
- Kubeflow
- LaTeX
- Linux
- Machine Learning
- Matlab
- Multivariate Statistics
- Natural Language Processing (NLP)
- Neural Networks
- NumPy
- Optimization
- Pandas
- Polars
- Predictive Analytics
- Predictive Modeling
- Project Engineering
- PySpark
- Python
- Python (Programming Language)
- REST APIs
- Reinforcement Learning
- Rust (Programming Language)
- SQL
- Scalable Vector Graphics (SVG)
- SciPy
- Scikit-Learn
- Snowflake
- Stakeholder Management
- Statistics
- Streamlit
- Survival Analysis
- TensorFlow
- Vector Databases
- Vectorization
Peter Kadar Summary
- Peter Kadar, based in København, DK, is currently a Data Engineer at Danske Bank. Peter Kadar brings experience from previous roles at VhAT, TDC NET, Pandora and Danske Bank. Peter Kadar holds a 2016 - 2019 Master’s Degree in Mathematical Modelling and Computation @ DTU - Technical University of Denmark. With a robust skill set that includes Amazon Web Services (AWS), Artificial Intelligence (AI), Azure Databricks, Azure DevOps, Backend and more.
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