Position: Trainee Data Scientist
Category: Python
English level: fluent
Years of experience: 1.5


I am currently pursuing a Bachelor's degree in Information Technologies and Business Analytics from Ukrainian Catholic University (finishing 3rd year), consistently achieving top rankings throughout my academic journey. In my professional experience, I have undertaken notable projects and internships, showcasing my expertise in various programming languages and frameworks.
One of my significant accomplishments was the Student Training Engineering Intern role at Google in Zurich. I contributed to the User Location Infrastructure team, working on services handling high query rates (xM QPS). I developed a web application that simulated and debugged locations on Earth. That involved designing and building front-end components using Google frameworks while enhancing the user interface through UI/UX collaboration. 

During the last 3 years of my coding experience, I implemented many projects: An image stitching algorithm using Python, Numpy, matplotlib, and CV2, Java-based Humanitarian Aid Management System for volunteer organizations in Ukraine, an Airbnb market analysis project conducted during the Russia-Ukraine war, and other ones. My main focus right now is on the area related to working with Data: Machine Learning, Big Data Engineering, and Natural Language Processing, where I am currently exploring different algorithms and techniques in practice. 

There are a few projects in the stage of development: A movie Recommendation system, a comparison of Textual Entailment and Semantic Textual Similarity for extractive summarisation, and real-time trade information via Websockets. 

My technical skills are the following: 
Languages: Python, Java, SQL, JavaScript, TypeScript, R, HTML, CSS, R, C++
 Frameworks & Libraries: Pandas, NumPy, NLTK, Matplotlib, OpenCV, CV2
 Development Tools: Git, Github, Google Colab, VS Code, IntelliJ IDEA, Azure Data Studio, Gitlab, RStudio, Figma, CLion, Eclipse, GCP
 Database Technologies: Cassandra, Kafka, Apache Spark, MySQL, PostgreSQL
 Other Tools: Docker, Jupyter Notebook, PyCharm 

Overall, I am open to many roles, especially related to working with Data, so feel free to reach up and discuss.

In summary, my extensive experience in software development, combined with my strong technical skills and leadership capabilities, positions me as a qualified candidate for Software Engineer role, Data Scientist, etc. I am eager to continue my professional growth and contribute to challenging projects in the future.