Ксенія

Kseniia Ryzhkova
Data Analyst

PROFESSIONAL SUMMARY CONTACT
Skilled in Python and SQL for data analysis, with hands-on
experience using Google Sheets and Tableau for reporting and Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
visualization. Knowledgeable in A/B testing and statistical analysis Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
to drive data-informed decisions. Proficient in English, with strong Address: Kharkiv, Ukraine; remote
communication skills for presenting data insights clearly to both LinkedIn: Xenia Ryzhkova
technical and non-technical audiences.
SKILLS
Spreadsheets: Pivot Tables, Data Cleaning, Visualization
SQL: Advanced Queries, Window Functions, Query Optimization, Common Table Expressions (CTE)
Python: Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data Analysis (EDA)
Tableau: Interactive Dashboards, Data Storytelling, Publishing
Statistics: Sampling, Hypothesis Testing, Correlation, Statistical Significance
A/B Testing: Planning, Analysis, Reporting
Other Tools: Jupyter Notebooks, Google Analytics, Excel
Languages: English (Upper-Intermediate)
GA4: advanced reporting, event tracking, conversions, and website performance analysis

WORK EXPERIENCE
Data Analyst (Marketing), Svitla | Jun 2025- Dec 2025
Analytics GA4
Standard Operating Procedure (SOP) Development
Salesforce Dashboards & Reports
Salesforce Campaign Setup & Maintenance
Organic Search Performance Report
Weekly Update

PORTFOLIO
SQL(link 1) – User Engagement Analysis:Used SQL to analyze user behavior, email interactions, and demographic data,
segmenting users and pinpointing high-engagement markets.
Tableau(link 2)– Email Metrics Dashboard: Built interactive dashboards to visualize open and click rates by country.
https://public.tableau.com/app/profile/kseniia.r2754/viz/EmailMetrics_17409320257990/Emailmetrics?publish=yes
Python(link 3) – Sales and Store EDA: Cleaned and visualized sales datasets to uncover trends and anomalies; automated
reporting

PREVIOUS EXPERIENCE
Data Analyst | Nov 2024 - June 2025 Self-Employed Freight Watch Dispatch, Logity | Aug 2021 - Sept 2024
Analyzed large datasets using Python and SQL to extract insights that Top 4 in team performance and quality metrics
supported business and product decisions. Verified calls and shipments with high accuracy
Developed and maintained real-time performance dashboards in Coordinated international logistics and shipment tracking
Tableau and Google Sheets, improving visibility of KPIs across Resolved issues through teamwork and problem-solving
departments.
Designed and evaluated A/B tests to assess product feature changes,
interpreting statistical results to guide development priorities.
AWARDS AND CERTIFICATION EDUCATION
EF SET Certificate B2 (link) National Technical University "Kharkiv Polytechnic
Mate Academy of Data ANALYTICS(link) Institute" | 2019-2023
Certificate Java Developer (2021) Bachelor’s degree in Intelligent Computer Systems
Amazing Dedication 2022