Position: Junior Data Scientist / Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 1

•	Udemy,  Tableau 2022 Advanced: Master Tableau in Data Science.
•	Data Analytics Engineering Training, EPAM (6 month Training);
•	Microsoft Certified: Power BI Data Analyst Associate.
•	SoftServe Data Analytics Marathon (Power BI). 
•	Google Data Analytics Course on Coursera..
•	Udemy, The Data Science Course 2021: Complete Data Science Bootcamp.
I have almost a year of experience in a product IT company as a Data Analyst and more than two years in a research project in the field of data analytics in IoT.

The field of Data Analytics has captured my interest since the writing of my bachelor’s thesis. From that time on, I have constantly been trying to improve my skills in this area. My expertise lies in Python programming, where I emphasize statistical analyses, data visualization, and machine learning. I adeptly transform complex datasets into clear and insightful reports and dashboards,  using tools like PowerBI and Tableau. My practical experience extends to working with databases on platforms such as PostgreSQL and MS SQL. Beyond my technical skills, I am an active contributor to the scientific community, authoring articles, attending international conferences, and having several publications on the applications of Neural Networks in Data Analytics.

•	Programming languages: Python (TensorFlow, Pandas, NumPy, Scikit-learn, matplotlib, Streamlit, etc.);
•	Tableau;
•	Power BI (Microsoft Certified);
•	Databases: PostgreSQL, MS SQL, BigQuery;
•	VCS: GitLab;
•	Platforms: Mac OS, Windows;
•	Cloud Platforms: GCP (pet-project).
I am looking forward to interesting and challenging tasks, opportunities for professional growth and a friendly result-oriented team.