Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 3


Recently, I have completed ML in Production and NLP Beginning courses at Projector, expanding my knowledge of the machine learning model lifecycle, from data handling and training to deployment, monitoring, and automatic updates in production. Through these courses, I gained hands-on experience in building and deploying my machine learning models. Notably, during the NLP course, I developed a Telegram chatbot for a charitable organization.

Before taking maternity leave, I gained experience as a Data Scientist in a Telecom company, where I used Python to train predictive models and improve profitability, growth, and other KPIs. I also developed client segmentation models and implemented predictive models on SQL, and conducted A/B testing to evaluate model performance in production. 
Additionally, I worked as a Quantitative Developer and I implemented financial algorithms using C++/C# programming languages and applied automatic differentiation to solve financial problems. I also integrated AD with financial libraries and created comprehensive methodology, implementation, and validation documentation.
I hold an MS in Systems and Methods of Decision-Making from NTUU "KPI" ESC "IASA".
I am eager to take on new challenges and continue growing professionally.