Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 1.5


Data labeling and video annotation for sports sponsors in different leagues: This project likely involved working with sports-related video footage and labeling or annotating it to identify specific elements, such as logos or advertisements for sponsor brands. The goal of the project was likely to provide valuable data to the sponsors or the sports leagues themselves to track engagement and ROI.

EDA for Olympic data analysis: EDA stands for "exploratory data analysis," and this type of project would likely involve analyzing data related to the Olympic games. The goal would be to identify patterns and insights in the data, such as trends in athlete performance, medal counts by country, or changes in participation over time.

Tableau project for IT professionals with details on job titles, salary, and experience: This project probably involved using Tableau software to create interactive visualizations of data related to IT job titles, salaries, and experience levels. The goal of the project would be to help IT professionals or job seekers understand the job market and potential career paths.

Excel projects for Adidas dataset and McDonald's by creating interactive dashboards: These projects likely involved using Excel to analyze and visualize data related to the performance of Adidas or McDonald's. The interactive dashboards would allow users to interact with the data, such as filtering by time period or product line.

Power BI for food preprocessing dataset: Power BI is a Microsoft software tool used for data analysis and visualization. This project likely involved using Power BI to analyze and visualize data related to a food preprocessing dataset. The goal of the project would be to identify patterns in the data and gain insights that could be used to optimize food processing procedures.