Anastasiia

ANASTASIIA STROHA
Junior Data Analyst
Ukraine • Open to remote • English: Advanced • Ukrainian: Fluent
[open contact info](look above in the "contact info" section) • [open contact info](look above in the "contact info" section) • LinkedIn

SUMMARY
Junior Data Analyst with an end-to-end portfolio project on real-world data: collected 841 apartment listings from OLX with
Python and Selenium, analyzed price per m² in Excel and verified the results with SQL. Found pricing outliers, data quality issues
and a renovation price premium worth testing. Background in statistics, econometrics and quantitative research, plus a Master’s
in Marketing. Explains findings clearly to non-technical teams; strongly interested in product analytics and experimentation.

CORE SKILLS
SQL (SQLite), Python
Statistics: descriptive statistics, EDA, outlier detection (IQR), data quality checks; statistics and econometrics (university)
Excel & BI: Excel (statistics, segmentation, charts), Google Sheets, Power BI (training)

SELECTED PROJECT
Real Estate Market Analysis: Kamianske apartments
Portfolio case study | Python, Selenium, Excel, SQL | CASE_STUDY_D.pdf
• Python: scraped 841 apartment listings from OLX with Selenium; used regular expressions to extract the apartment area
when it was not available as a separate page element.
• Excel: analyzed price per m² with descriptive statistics, segmentation by number of rooms and IQR outlier detection; checked
data quality (45 duplicates, 5.4%).
• SQL (SQLite): performed cross-checks to validate the Excel analysis and verify data consistency.
• Findings: typical price $435 per m² (median); 3-room apartments cost 16% more per m² than 2-room ones; listings that
mention renovation have a 45% higher median price per m² (hypothesis to test).

EXPERIENCE
Operations Manager
Real Estate Agency | Mar 2025 – Aug 2026
• Collected and processed real estate listing data from OLX using Python, Selenium WebDriver and pandas.
• Analyzed prices and price per m² with descriptive statistics to define market price ranges and flag pricing outliers, supporting
property pricing decisions.
• Prepared monthly real estate market analysis reports for the team.
• Ran Google and Meta ad campaigns.
• Set up LigaPro CRM as the agency’s central property database and kept data accurate in coordination with realtors.
Event Coordinator
Art Studio | Nov 2023 – Sep 2024
• Managed workshop registrations and client requests in Google Sheets; consulted clients and built repeat bookings.
Lead Generation Manager
ECOSAP, Business Intelligence agency | Aug 2022 – Jan 2023
• Ran B2B outreach for a BI and data analytics agency: 800 Upwork proposals in 6 months with a 7.1% response rate.
• Qualified leads by analyzing client briefs for BI, data analytics and data visualization projects; coordinated between clients
and the BI team.
Research Analyst Intern
Monitoring-Analytical Group CIFRA | Sep 2020 – Nov 2020
• Conducted 50 structured telephone interviews (26-question questionnaire), analyzed the data and compiled statistical
findings into reports.

EDUCATION & COURSES
Master of Marketing — Alfred Nobel University | 2022 – 2024 | incl. Business Analytics with Power BI
Bachelor of Political Science — Ukrainian Catholic University | 2018 – 2022 | incl. Statistics and Econometrics
Business Analyst Course — Genius Space | 2026 | incl. SQL and database fundamentals