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 performance | Vojtěch Jindra | B.Sc. / FIT ČVUT |
| Face detection | Jan Hroch | B.Sc. / FIT ČVUT |
| Reinforcement Learning for knowledge extraction from text | Pavel Hlubík | B.Sc. / FIT ČVUT |
| Comic2vec: vector representation of comics | Martin Piták | M.Sc. / FIT ČVUT |
| Reinforcement Learning for self-flying | Matúš Tóth | M.Sc. / FIT ČVUT |
| Machine Learning for Earthquake Prediction | Georgii Korostii | B.Sc. / FIT ČVUT |
| Machine Learning for financial crime detection | Stanislav Němec | B.Sc. / FIT ČVUT |
| Synthetic data generation for reinforcement learning | Martin Nykodem | B.Sc. / FIT ČVUT |
| Satellite data analysis for crop yield prediction | Ondrej Pudiš | B.Sc. / FIT ČVUT |
| Music Generation Powered by Artificial Intelligence (ucu.edu.ua) | Oleh Shyshkin | M.Sc. / UCU Lviv |
| Reinforcement Learning Agents in Procedurally Generated Environments with Sparse Rewards (ucu.edu.ua) | Olexiy Nagirny | M.Sc. / UCU Lviv |
| Effective Methods for Audio Spoofing Detection | Dmytro Ivashchenko | M.Sc. / UCU Lviv |