This company is a leading expert in the IT consulting market and the development and implementation of effective solutions for business automation. Big Data Analysis and Reporting: – Conducted real-time big data analysis using PySpark to process streaming data from client websites, focusing on user activity and purchase behavior. – Developed AIRFLOW scripts for nightly data uploads, ensuring consistent data availability. – Generated monthly trend reports and vital statistics for clients using PowerBI, highlighting key performance indicators and actionable insights. Client Communication and Data-Driven Strategy: – Collaborated closely with clients and team members to identify project objectives and essential predictive data requirements. – Regularly collected, analyzed, and presented data findings using PySpark and Pandas, maintaining transparent communication about progress and potential challenges. – Explored and tested various hypotheses based on the data using Machine Learning approaches, contributing to the development of informed, data-driven strategies

BlackVR Is an IT company for the development of AR and VR technology, 360 video and websites production. My main tasks were - data analysis with excel and R, - leading projects and the development team, - helping to organize and conduct events involving with virtual reality helmets use and managing with full logistics for such events.

- Developed and Deployed an Intelligent Chatbot: Created a chatbot using Flask, later migrating to Socket.IO for real-time communication, enhancing user engagement and support. - Implemented Semantic Search with Vector Embeddings: Utilized vector databases (e.g., Chroma) to store embeddings, enabling efficient semantic retrieval of information and improving response relevance (RAG). - Advanced Prompt Engineering: Fine-tuned language models and crafted prompts to optimize the chatbot's conversational abilities and accuracy in understanding user queries. - Natural Language Processing Optimization: Developed NLP pipelines for text preprocessing, including tokenization and language detection, to handle multilingual inputs effectively. - Production Deployment and Scalability: Deployed the chatbot in a scalable environment, ensuring high performance and the ability to handle increased user traffic.