About Me

I am a lecturer and math mercenary consultant with experience in academic and real-world research.

For any inquiries, please send me an email: pablo@maldonado.cz

Professional Experience


2017- Present

Data Science Consultant and Technical Trainer.

I provide training in Python, Data Science, AI and BI to companies around the world. Sometimes through training companies, but you can book me independently if you are not their client. Some of my clients include the European Parliament, European Investment Bank, Czech National Bank, Police Scotland, Renault and several companies in the pharmaceutical, insurance and telecommunications industry.

2015-2016 and 2020-2021

Senior Consultant at PricewaterhouseCoopers Czech Republic (Prague, CZ).

Teaching Experience


2021-Present

Lecturer at University of New York in Prague. (Web Design, Machine Learning Fundamentals, AI and Society).

2021-2024

Lecturer at Newton University (Calculus, Microeconomics).

2017-2022

Lecturer at Ukrainian Catholic University Lviv, UA, Visiting Lecturer.

2017-2019

Lecturer at Czech Technical University: Prague, CZ. (Research seminar, Machine Learning).

2006-2009

Universidad Michoacana de San Nicolás de Hidalgo: Morelia, MX. (Calculus, Algebra, Complex Analysis).

Education


2011-2014

Université Paris Sorbonne: Paris, Île-de-France, FR, PhD in Applied Mathematics.

2009-2011

TU Kaiserslautern, DE and JKU Linz, AT master’s degree in industrial mathematics.

2002-2009

UMSNH, Morelia, Mexico: B.Sc. / M.Sc. in Physics and Mathematics.

Selected Publications


  • Does Innovation Activity Shape Economic Development of the Czech Regions? (with O. Dvouletý), in review (2024).
  • Player skill estimation for soccer match prediction, Int.  Journal of Applied Pattern Recognition (2019).
  • A Dijkstra-Type Algorithm for Dynamic Games Dynamic Games and Applications (2016).
  • Discrete time mean-field games: The short-stage limit Journal of Dynamics and Games (2015).

List of supervised bachelor and master theses since 2018


Statistical evaluation of players and team performanceVojtěch JindraB.Sc. / FIT ČVUT
Face detectionJan HrochB.Sc. / FIT ČVUT
Reinforcement Learning for knowledge extraction from textPavel HlubíkB.Sc. / FIT ČVUT
Comic2vec: vector representation of comicsMartin PitákM.Sc. / FIT ČVUT
Reinforcement Learning for self-flyingMatúš TóthM.Sc. / FIT ČVUT
Machine Learning for Earthquake PredictionGeorgii KorostiiB.Sc. / FIT ČVUT
Machine Learning for financial crime detectionStanislav NěmecB.Sc. / FIT ČVUT
Synthetic data generation for reinforcement learningMartin NykodemB.Sc. / FIT ČVUT
Satellite data analysis for crop yield predictionOndrej PudišB.Sc. / FIT ČVUT
Music Generation Powered by Artificial Intelligence (ucu.edu.ua)Oleh ShyshkinM.Sc. / UCU Lviv
Reinforcement Learning Agents in Procedurally Generated Environments with Sparse Rewards (ucu.edu.ua)Olexiy NagirnyM.Sc. / UCU Lviv
Effective Methods for Audio Spoofing Detection Dmytro IvashchenkoM.Sc. / UCU Lviv