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Hi there, stranger! Welcome & Thanks for following 👍

I also give talks from time to time (if you organize a conference & want to invite me to give a talk, drop me a line @ radovan.kavicky(at)gmail.com(or)gapdata.org).

Various selected in past: Global AI Show (Dubai, 2024), WeAreDevelopers (Berlin, 2023), TAILOR (Brussel, 2023), CODECON (Bratislava, 2023), DATAcated (New York, 2022), PyData (Hamburg, 2022), Machine Learning Prague (#MLPrague, 2023, 2022), Data Science Summit (Warsaw, 2024, 2021), PyData (Hong Kong, 2021), ODSC Europe (London, 2021), WeAreDevelopers (WeAreDevsLIVE, 2021), Data Science Conference (DSG 5.0, 2019), H2O.ai (Prague, 2019), PyCon LT (PyData Track, Vilnius, 2019), Vienna Data Science Group/VDSG (Linz, 2019), TechSummit (Bratislava, 2017 & 2019), OpenCamp (Bratislava, 2019) PyData (Berlin, 2017)

Contributions

snake eating my contributions


• Founder of PyData Slovakia/Bratislava (#PyDataSK #PyDataBA), R <- Slovakia (#RSlovakia), Julia Users Group Slovakia (#JUGSlovakia), SK/CZ Tableau User Group (#skczTUG) & Effective Altruism Slovakia (#EASlovakia)

• Data Science Polyglot (R, Python, Julia ++more) & Data Science Veteran (10+ years in this area/Data Science consulting, education & community building)

• Data Science Instructor @ DataCamp, BaseCamp.ai, Learn2Code, GapData (in past also GOPAS and others)

• Macroeconomist by academic background and Consultant & Data Scientist by professional background (10+ years of consulting for clients from public & private sector)

• Member British Computer Society (Member, #BCS), Member of Slovak Economic Association (SEA, Member @ EEA/European Economic Association & IEA/International Economic Association), IEEE Computer Society (Member, #IEEE, #IEEECS), Slovak Research Center for Artificial Intelligence/Slovak.AI (#SlovakAI), Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE), European AI Alliance (European Commission/Futurium), Trustworthy AI - Integrating Learning, Optimisation and Reasoning (TAILOR network), AAAI, EurAI, AI4SK, ELLIS, UDSC (United Data Science Communities)/X-Europe Webinars Series & The Python Software Foundation (PSF).

• Specialities/Main area of expertise (hard skills): Econometrics, Data Science, Artificial Intelligence, Machine Learning, Deep Learning (AI/ML/DL), Ethics & Transparency in AI/ML, Economic Policy (monetary&fiscal), Quantitative Analyses, Financial Modeling, Data Visualization, Explainable AI/ML

• Member of the Global Tableau #DataLeader network (from 2017)

• U.S. Department of State's & the Atlantic Council GeoTech Center's Artificial Intelligence (AI) Connect program (2024)

More about me here: https://www.linkedin.com/in/radovankavicky/

Or here: https://www.kaggle.com/radovankavicky

Languages and Tools:

Anaconda

PyCharm

RStudio

Visual Studio Code

Jupyter

Julia

H2O.ai

Scikit-learn

MongoDB

Bokeh

D3

Tableau + Salesforce

Terminal

Azure

Radovan Kavicky's Projects

python_project_template icon python_project_template

Template for all my Python projects on Github. Automatic integration with Python 2.7 - 3.7, Travis, AppVeyor, Codecov, CodeClimate, MentionBot, Sphinx, Readthedocs, Flake8, and Tox.

pythonplot.com icon pythonplot.com

📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.

pythonwhat icon pythonwhat

Functionality to write Submission Correctness Tests for Python exercises on DataCamp.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytudes icon pytudes

Python programs to practice or demonstrate skills.

pyxl3 icon pyxl3

A Python 3 extension for writing structured and reusable inline HTML.

q4models icon q4models

Code to solve/simulate the models from the 4th quarter in the first year PhD macroeconomics sequence at NYU. Course taught by Gianluca Violante.

qautomatedtrading icon qautomatedtrading

Automated trading platform based on Machine Learning algorithm using q/kdb+.

qiskit icon qiskit

Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.

qt-gretl icon qt-gretl

A Qt based C++ version of Gnu Regression, Econometrics and Time-series Library aimed to achieve better cross-platform support & GUI features.

qualtrics icon qualtrics

Download qualtrics survey data directly into R!

quantecon.py icon quantecon.py

A community based Python library for quantitative economics

quantfin icon quantfin

Quantitative finance related R functions

quine-relay icon quine-relay

An uroboros program with 100+ programming languages

quiver icon quiver

Interactive convnet features visualization for Keras

r icon r

Exercises with R language (math+statistics)

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