Максим Ветеран

Maksym Deineka
Real Estate Analyst
Lublin, Poland | [відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація»)

Professional Summary
Analytical and detail-oriented aspiring Real Estate Analyst with an interest in property market research and investment
analysis. Skilled in data analysis. Able to organize market data, identify pricing trends, and draw evidence-based
conclusions. Eager to contribute to real estate investment and advisory projects while developing expertise in financial
modeling

Key Skills
• Real Estate Analysis: Market research, property comparables, rental rate analysis, sales price analysis, and
yield analysis.
• Data Analysis: Microsoft Excel, pivot tables, lookup functions, data cleaning, and data visualization.
• Financial Analysis: Cash flow analysis, return on investment (ROI) and basic financial modeling.
• Technical Tools: Excel, Power BI, SQL, Python (pandas/seaborn/matplotlib), Google Sheets, tableau, R.
• Languages: Ukrainian – Native; English – B1; Polish - A1.

Analytical Projects
Kielce Residential Market Analytics 25/10/2026

• Analyzed Kielce using a dataset of 1006 property listings.
• Calculated average price per square meter, price ranges, and differences across neighborhoods.
• Created charts and summarized market trends using tableau.
• Presented findings in a concise analytical report with data-driven conclusions.

Education
Poltava National Technical University 2008 – 2012
Degree: Bachelor’s Degree
Major: Informatics
Relevant Coursework: Probability theory and mathematical statistics, Systems theory and mathematical modeling.

Kharkiv National University of Radio Electronics, 2012 – 2013
Degree: Specialist’s degree
Major: Informatics
Relevant Coursework: Modeling economic, environmental, and social processes, Fundamentals of marketing and
economic feasibility analysis of projects.

Certifications & Professional Development
• Deep Learning Course – DeepLearning.AI, Nov 2025.

Additional Information
• Strong attention to detail and analytical problem-solving skills.
• Ability to work with structured datasets and communicate findings clearly.
• Portfolio: Kielce Residential Market Analytics