Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 2

Completed several projects and tasks, including data cleaning and preparation, data visualization, and data analysis
As a data analyst, I have completed several projects and tasks, including data cleaning and preparation, data visualization, and data analysis. For instance, I developed an automated system to clean and perform EDA for customer data using Python and Pandas libraries. I also created interactive dashboards and reports using  Power BI to help stakeholders in decision-making. Additionally, I conducted various statistical analysis techniques like regression, clustering, and hypothesis testing to gain insights from the data.

In my current role in the team, I am responsible for collecting and analyzing data from various sources, developing data models, and communicating data-driven insights to stakeholders. I work closely with other team members to identify business problems and develop solutions using data.

One area I would like to improve is my programming skills. Although I am proficient in R, Python and SQL, I want to learn new technologies and tools like spark and Hadoop to expand my skill set. Additionally, I want to improve knowledge on machine learning techniques to make more accurate predictions and better business decisions. Finally, I am eager to improve my communication skills to effectively communicate data insights to non-technical stakeholders.