As a lecturer in the IT school, I specialize in teaching topics including machine learning (ML), large language models (LLMs), prompt engineering, and image generation. I design and deliver comprehensive courses to equip students with practical and theoretical knowledge in these advanced fields of AI. My curriculum covers real-world applications such as machine learning base theory, text processing, AI model training, natural language understanding, and AI-based image generation.

As a Data Science Intern at Retail Hub, I worked on an end-to-end project: data extraction from unstructured text using LLM.

I utilized OpenAI models to extract valuable data from company websites, applying fine-tuning techniques and prompt engineering strategies. I have developed a text preprocessing pipeline to fill the database automatically.

As a Data Scientist at HS-Soft, I drove data-driven decision-making processes to enhance product performance and optimize sales strategies.

My primary responsibilities included:

Data Storage and Preparation: Maintained scalable data storage solutions using AWS S3, and implemented data pipelines for data cleaning, and transformation, utilizing tools such as AWS Lambda for serverless computing.

Model Development for Sales Forecasting: Developed and deployed machine learning models using AWS SageMaker to forecast product sales and demand. Leveraged historical sales data and external factors to build accurate forecasting models.

• Аналіз та обробка великих обсягів даних для виявлення закономірностей та патернів
• Використання статистичних методів для аналізу даних та виявлення взаємозв'язків
• Розробка та впровадження моделей машинного навчання для вирішення бізнес-задач

Algebra and geometry classes with students in grades 7-11.