"I’m 20 years old, born in Estonia, and currently in my third year at the IT University of Copenhagen. My expertise lies in Data Science, Machine Learning, and Data Visualization, and I have a deep passion for understanding and interpreting data. Through my academic journey and hands-on experience, I have honed my skills in languages such as Python, R, SQL.
In addition to my studies, I’ve worked on several projects that involve building predictive models, automating workflows, and visualizing complex data patterns. My interest lies in using machine learning algorithms to solve practical problems, whether it's through image classification, natural language processing, or statistical analysis. I’m driven by a desire to use data to make informed, impactful decisions."
"My education journey reflects a deep commitment to building a solid technical foundation in IT and data science. Beginning with advanced courses in mathematics and physics during high school, I’ve always pursued rigorous study paths that challenge me to think critically and solve complex problems. Now, as a student at the IT University of Copenhagen, I’m developing skills in programming, data analysis, and machine learning, supported by hands-on experience with predictive modeling, natural language processing, and data visualization."
Sep 2022 – present (3rd year)
IT University of Copenhagen
Tallinn Tynismae Science School
High School
Tallinn, Estonia
I developed a strong academic foundation, particularly in mathematics and physics. I participated in advanced math classes and took additional lessons in both subjects, which honed my analytical skills and problem-solving abilities. This rigorous training inspired my interest in data science and programming, shaping my future academic and professional goals.
Bachelor of Data Science
Copenhagen, Denmark
At the IT University of Copenhagen, I'm building a strong foundation in IT and data science, focusing on programming, data analysis, and machine learning. My coursework and projects have sharpened my skills in Python, R, and statistical analysis while fostering collaborative problem-solving. Through hands-on experience in predictive modeling, NLP, and data visualization, I’ve also gained proficiency with tools like Tableau, Power BI and Gephi. This experience has allowed me to explore advanced techniques and deepen my understanding of the field.