Data Scientist & Python Developer

Kandidát je dátový vedec so skúsenosťami s vývojom produktov strojového učenia, najmä v oblasti spracovania prirodzeného jazyka a dodržiavania GDPR. Kandidát má magisterský titul v oblasti pravdepodobnosti a matematickej štatistiky. Kandidát má tiež skúsenosti ako full-stack vývojár a pracoval na projektoch, ako je notifikačný bot pre kryptomenovú burzu. Kandidát je aktívnym používateľom angličtiny so znalosťou na úrovni C1 a má veľký záujem o hudbu, matematiku, šport, literatúru a nové technológie.

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.