Ira Shevchenko
About Ira Shevchenko
Ira Shevchenko is a Quality Control Analyst and Quality Assurance Engineer at Simporter, where they focus on performance analysis of NLP algorithms and data manipulation for market trend predictions. Previously, they worked as an English teacher and held various roles at AIESEC in Lviv, Ukraine.
Work at Simporter
Ira Shevchenko has been employed at Simporter since 2022, serving in dual roles as a Quality Assurance Engineer and Quality Control Analyst. In these positions, Ira focuses on refining customer-used attribute labeling and categorization, which enhances the accuracy of market trend predictions. Additionally, Ira compiles metrics to evaluate algorithm performance, assessing improvements made through machine learning. The role also involves executing targeted attribute data manipulations aimed at reducing content churn rates within specific categories.
Previous Experience in Education
Before joining Simporter, Ira worked as an English Teacher for IT specialists at KIT English for IT from 2021 to 2022 in Lviv, Ukraine. This role involved teaching English language skills tailored to the needs of IT professionals. Prior to this, Ira held multiple positions at AIESEC from 2019 to 2020, including Language School Team Leader, Member of the Partnership Development Team, and Member of Talent Acquisition Management. These roles contributed to Ira's experience in leadership, partnership development, and talent acquisition.
Education and Expertise
Ira Shevchenko earned a Bachelor's degree in Applied Linguistics from Ivan Franko National University of Lviv, completing the program from 2018 to 2022. This academic background provided a foundation in language studies, which has been applied in both educational and analytical roles. Ira's expertise includes conducting performance analysis of NLP algorithms, particularly for sentiment labeling of consumer feedback, and augmenting reviews with ChatGPT prompts to enhance training data for machine learning models.
Skills in Data Analysis and Machine Learning
Ira specializes in performance analysis and comparison of natural language processing algorithms, focusing on sentiment labeling of consumer feedback. This involves compiling metrics to evaluate algorithm performance and executing data manipulations to improve machine learning outcomes. Ira's work includes augmenting training data using ChatGPT prompts, which supports the development of more accurate machine learning models. These skills contribute to the overall effectiveness of the quality control processes at Simporter.