EVGENIYA MUSAEVA

Lead data labeling initiatives for machine learning, leveraging both large language model (LLM - prompt engineering) and manual annotation methods (human labeling) to enhance data quality and efficiency. Supervise a team of 5 contractors and 10+ part-time workers across different domains and tasks. Skills: Prompt Engineering · Large Language Models (LLM) · Crowdsourcing · Project Management

As a product quality manager for Yandex.Navigation in Turkey, I: • Helped Russia's leading IT company, Yandex, grow in Geo services products, focusing on Yandex.Navigation for the Turkish market. • Coordinated with 11 teams across 3 countries on AI Alisa, Geosearch, Business Directory, Geocoder, Maps, Routing & Navigation quality in Turkey using English, Russian & Turkish. • Taught Yandex's AI Alisa how to speak Turkish as a lingo-cultural expert, consulted computational linguistics (ASR, NLP, TTS) teams.

Prepared and analysed data, making visualizations, calculating DAU, WAU, MAU, CAC, ROMI, LTV, Retention. Using statistical methods to carry out simple A/B-tests. Tools: - Python and libraries (pandas, numpy, matplotlib, seaborn, plotly) in Jupyter Notebook - PostgreSQL - Tableau for data visualization. - Dash on remote server and in command line While participating in a bootcamp I completed 12 analytical projects for such fields as telecom, gaming, finance, e-commerce, retail and mobile app development.

Responsible for analysing & testing the quality of Private jet solutions software. • Conduced user design (UX) prototype tests, frontend / backend manual tests • Identified system bugs and issues, providing feedback to the software development team to fix • Leveraged insights to suggest UI changes, improving the user experience and commercial results • Created user guides and manuals to support solution usage and improve user experience.