Position: Middle Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 3


In my previous work experience, I have completed several projects and tasks related to data analysis and predictive modeling. I have used various technologies to accomplish these tasks, including Tableau for report development and support, SQL for creating and maintaining queries, and Python for data mining and processing.
As part of my role in the team, I have been responsible for developing and maintaining reports on Tableau. This involved working closely with stakeholders to understand their requirements, designing visually appealing and informative reports, and ensuring data accuracy and integrity. I have also collaborated with the team to troubleshoot any issues that arose and provide support to end users.
I have utilized my SQL skills to create and optimize queries for data retrieval and analysis. This has involved working with large datasets, joining multiple tables, and performing aggregations and transformations to extract meaningful insights.
Furthermore, I have leveraged Python for data mining and processing tasks. This has included tasks such as data cleaning, feature engineering, and exploratory data analysis. I have also worked on building predictive models using machine learning algorithms to forecast future trends, identify patterns, and make data-driven predictions.
I play a crucial role in the data analysis team, collaborating with other team members and stakeholders to deliver actionable insights and drive data-based decision-making.
I am always seeking ways to enhance my skills and expand my knowledge in data analysis and predictive modeling. I aim to further deepen my understanding of advanced machine learning techniques, such as deep learning and natural language processing, to tackle more complex problems. Continuous learning and improvement are essential aspects of my professional growth, and I am committed to honing my expertise in this domain.