Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 0

In 2019, won the Regional Olympiad in Excel/Word/Access among college students, also graduated from college and university with honours.
Reached the top 10% of university graduates.
As a digital economics graduate and lifelong learner, I'm deeply interested in data analytics. With a strong background in Excel (4+ years) and a passion for working with data, I have completed courses in SQL, Tableau, R, Python to expand my skills.

Google Data Analytics Certificate:
Learned how to analyze data, ask SMART questions, and make data-driven decisions.
Explored different data types and how to collect and prepare data for analysis.
Developed skills in data cleaning and transformation.
Deepened understanding of data analysis using SQL and Sheets.
Comprehended how to validate data and test hypotheses.
Acquired how to visualize data effectively using best practices and tools like Tableau and storytelling with data.
Applied R for data exploration and statistical analysis.

Project for Private Enterprise:
Digitized accounting department reporting using Excel aggregation and array formulas, reducing paperwork by 50%.
Transformed business processes yielded a 400% increase in time savings.
Automated reporting to help prevent human errors in data, reducing errors by 90%.
Generated valuable insights for decision-making by visualizing profit in reports.
I am looking for opportunities to enhance my career, professional development and personal growth in the Data Analytics field.