Svetlana has a degree in Applied Mathematics and Computer Science. This allows her to think in complex ways and understand the structure of IT processes. During her studies, Svetlana was exposed to the fundamentals of algorithms, programming, analysis and statistics. She also gained hand-on experience of working with data as a Data Quality Analyst in IT-Consulting.
Svetlana is a very communicative person with a passion for solving non-standard problems. She is proficient in preparing and transforming data using Alteryx, Tableau Prep, and SQL, as well as in visualizing data using Tableau. She focuses her work on extracting actionable insights from data using available tools.
Sills
Data Visualization: Tableau, PowerBI
Data Preparation: Alteryx, SQL, Tableau Prep, KNIME
Programming: Python
Design: Canva
Key competencies
Project Management
Strong analytical skills
Clean, visually appealing dashboards
Large experience in Data Preparation
Good at handling ad hoc tasks
Before Data School
Studies
Lomonosov Moscow State University, Bachelor in Applied Mathematics and Computer Science
Statistics
Programming
Mathematics
Work experience
Innotech (IT-Consulting): Data Quality Analyst
Created data quality controls using SQL and SAS
Volunteering
Worked as Project Manager for educational project
Performed Research and Data Analysis for human rights reports
Maintained Airtable database