Data Scientist & Python Developer

Kandidát je datový vědec se zkušenostmi s vývojem produktů strojového učení, zejména v oblasti zpracování přirozeného jazyka a dodržování GDPR. Kandidát má magisterský titul v oboru pravděpodobnosti a matematické statistiky. Kandidát má také zkušenosti jako full-stack vývojář a pracoval na projektech, jako je notifikační bot pro kryptoměnovou burzu. Kandidát je aktivním uživatelem angličtiny se znalostí na úrovni C1 a má velký zájem o hudbu, matematiku, sport, literaturu a nové technologie.

Data Scientist July 2020 – present Developing machine learning products from idea to production. Research topics include natural language processing, bankruptcy prediction, and GDPR compliance. Utilizing technologies such as Pytorch, Tensorflow, Python, R, and Azure.

Development Intern April 2019 – August 2021 Unpaid internship in a startup. Main role was developing frontend and backend of the project website. Used technologies like Node.js, React.js, and MySQL.

Full-stack Developer (part-time) October 2019 – July 2020 Developing and maintaining a frontend of a web application written in Vue.js with occasional backend work in Java.

Political Fact-check Intern February 2019 – July 2019 Fact-checking statements from political discussions and compiling credible sources into summaries.

Projects Current projects include AI book character illustrations, a sports venues aggregator, an Android app for language practice, a notification bot for a cryptocurrency exchange, a sudoku application, and a JavaScript implementation of Algorithm X proposed by Donald Knuth.

Volunteering May 2019 Volunteered at the 2019 IIHF Ice Hockey World Championship, preparing venues, helping spectators, and undertaking ad-hoc tasks.