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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

ratistics icon ratistics

Ratistics provides basic statistics computations and functions to Ruby programmers.

raw icon raw

The missing link between spreadsheets and data visualization

ray icon ray

A system for parallel and distributed Python that unifies the ML ecosystem.

raylab icon raylab

Reinforcement learning algorithms in RLlib

rayshader icon rayshader

R Package for Raytracing Elevation Matrices to Produce Global Illumination Relief Maps

rba icon rba

Return-based Analysis - manipulate and analyze time-series objects of returns and prices

rchartsdygraphs icon rchartsdygraphs

An `rCharts` extension. Run `dygraphs` from R - interactive visualizations of time series using JavaScript and HTML canvas. See: http://dygraphs.com/ and

rdatasets.jl icon rdatasets.jl

Julia package for loading many of the data sets available in R

re2 icon re2

RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

re2r icon re2r

RE2 Regular Expression in R.

readal icon readal

A readme for Al's GitHub repos. (Resume supplement)

readwritedlm2.jl icon readwritedlm2.jl

CSV read and write like Julia Base with additional support of decimal comma, Date/Time types, Complex and Rational numbers.

reinforce.jl icon reinforce.jl

Abstractions, algorithms, and utilities for reinforcement learning in Julia

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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