Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 0

Experience (university projects): * phonetics: - praat script for formant synthesis of vowels; - manual praat analysis of Ukrainian speech; - comparative analysis of tts systems for English, Ukrainian and Russian; - testing of Ukrainian stt system; - a program for automatic (de)normalization of Ukrainian texts as a pre or postprocessing for tts or stt systems (volunteering); * morphology: - code that converts verbs to adverbs for the Ukrainian language; * lexis: - an electronic version of a printed dictionary with a command-line interface; * course paper: - explores mainly formal traits of poorly written science/academic articles; - a program to preprocess texts (uniforms it); - a program that automatically creates a couple of corpora, collects and calculates the traits in each text; * other: - localization for citation style language (Ukrainian). During this summer I attended Grammarly CompLing School, which covered classical NLP methods mainly.
I have no hands-on experience yet, but I'm eager to gain it. During my studies, I completed a couple of different projects, including creating an electronic version of a printed dictionary (with a command-line interface), formal feature detection and automatisation of corpora creation, contributing to the Corpora of Ukrainian Language, tts and stt systems testings.