Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 0

1. Developed a comprehensive understanding of data science principles, including data collection, analysis, and visualization.
2. Developed skills in programming languages such as Python for data manipulation and analysis.
3. Utilized machine learning algorithms to identify patterns in large datasets.
4. Created interactive dashboards to visualize data and present insights to stakeholders.
5. Implemented statistical models to forecast trends and predict outcomes from data sets.
6. Developed automated processes for collecting, cleaning, and organizing large datasets for analysis.
7. Collaborated with cross-functional teams to develop strategies for leveraging data-driven insights into business decisions.
8. Leveraged natural language processing techniques to extract meaningful insights from unstructured text data sources.
I created my pet project that I built with Streamlit and Plotly that let's the user create quick and easy visualizations on English Premier League's players and teams.
It allows for anyone to create sophisticated plots and charts and start their sport analysis journey.
I expect a good team with which I can grow in the direction that interests me.