Վահե User

- Hands-on experience with ETL processes
- Experience with business intelligence workflows
- Strong ability to interpret data insights using Power BI dashboards
- Experience in automating ETL processes
- Database optimization and performance improvement

Studied machine learning and data science with strong grounding in computer science fundamentals and deep learning, including NLP and computer vision. Covered ETL/data processing in Python, DBMS/SQL, Apache Airflow, Power BI, experimental design, and AI engineering for building, evaluating, and deploying ML systems.

- Deep knowledge of Python and core Computer Science fundamentals
- Strong understanding of Object-Oriented Analysis and Design (OOAD), OOP, SOLID principles, Data Structures, and Algorithms
- Solid foundation in Machine Learning concepts and workflows
- Advanced knowledge of Deep Learning, including: Neural Networks, CNNs, RNNs, and Transformers, Natural Language Processing (NLP), Computer Vision

- Respond promptly to customer inquiries in French via phone, email, and chat
- Ensure customer satisfaction by providing accurate and relevant product information
- Deliver clear and effective troubleshooting guidance

Built machine learning and data science skills in Python, including deep learning (CNNs, RNNs, Transformers), NLP, computer vision, reinforcement learning, and generative AI (diffusion models). Covered ETL and data processing, DBMS/SQL, Airflow, Power BI, and evaluation/deployment of ML systems.