Олена

OLENA KRASNOSHCHOKOVA
Data Analyst
Summary
I am a motivated junior data analyst who helps employers find answers to
their questions using numerical analytics and basic statistical analysis. I
have practical experience working with SQL for data sampling and Python
(Pandas, NumPy) for data cleaning and analysis. I can create clear
graphs in Seaborn and interactive dashboards in Tableau. I am fluent in
Google Sheets (pivot tables, complex formulas).
I am eager to learn quickly, work with large amounts of information, and
transform data into useful reports for the team. I have an analytical mind,
curiosity, and the necessary technical skills to do so.

Contacts
Project Experience
[open contact info](look above in the "contact info" section)
E-commerce enterprise data research
[open contact info](look above in the "contact info" section) Tools: SQL, Google Sheets.
Description: Basic EDA was performed in Google Spreadsheets. Raw data
Telegram
was cleaned and structured. Business queries were formed and data was
Linkedin extracted via SQL. Indicators were visualized using graphs and KPIs.
Analytical conclusions were provided to the customer.
Kyiv City, Ukraine My tasks: Data processing and visualization, providing conclusions and
practical advice to the customer.
Hard Skills Result: Demonstrated mastery of the entire data lifecycle—from
collection and cleansing to visualization and insight formulation.
SQL
Python Analysis of Stack Overflow's developer survey
Data collection, cleaning, and Tools: Google Colab, Python (Pandas)
preprocessing Description: Working with large datasets using Pandas. Descriptive
Statistical analysis statistics and data aggregation methods were applied. Measures of
Statistic A/B Tests central tendency and percentage distributions were analyzed. Data was
Data Visualization grouped and filtered according to various criteria. The results of the
analysis are presented in a convenient tabular format.
Forming reports
My tasks: Data analysis using the Pandas library.
Result: A thorough analysis of the data was conducted in accordance
Tools
with the task and project description.
Pandas
NumPy
Work Experience
Seaborn OKVP Dnipro-Kirovohrad
Tableau program engineer in the customer service department
Microsoft Office June 2002 -June 2019
Google Colab Executing queries of varying complexity using SQL from the database.
Creating tables and reports in Excel, Word, and Access.
Soft Skills Checking the database for errors before closing the month.
Making group recalculations and changes to the database.
Analytical thinking
Advising employees on how to use the company's software.
Team work
Achievements: Performed her work well and on time. Awarded a
Communication skills certificate of appreciation from management for her conscientious work.

Languages Education
IT School GoIT
English - Pre-Intermediate
Data Analysis
Ukrainian - Native
2025
Central Ukrainian National Technical University,
Kropyvnytskyi
Master's degree, systems engineer.
1995 - 2000