Вадим

Vadym Oleshko

Financial analyst

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ABOUT ME

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Basnka Bystrica, Slovakia

Student with an analytical background, skills data analysis and research projects. Actively seeking an internship/junior position as data-analyst or financial analyst

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Skills
Excel (Pivot Tables, VLOOKUP, advanced formulas, data cleaning)
SQL (CRUD operations, SELECT queries, JOINs, GROUP BY)
Python (Loops, conditionals, lists, data manipulation)
LLM-Assisted Data Analysis (ChatGPT / GPT-4.1 / Claude 3.5). acceleration of data analysis, generate SQL/Python code, optimize queries, and summarize insights from datasets, improving analysis speed and accuracy.
QuickBooks (Intuit QuickBooks certification) GAAP fundamentals, AP/AR management, bank and credit card reconciliation, payroll processing, PL preparation, Balance sheet analysis, cash flow reporting
Education
Bachelor degree |Business Economics and Management - |Matej Bel University | September 2023 – June 2026
Focus on understanding economic behavior, business decision-making, and organizational performance. The program developed strong analytical and quantitative skills through coursework in statistics, finance, data-driven management, mathematics and database systems.

Experience
Lifeguard/Pool operator |High Sierra Pools, The USA| June 2025 – August 2025
Monitored pool operations to ensure full compliance with safety standards and prevent incidents. Conducted daily chemical testing and equipment checks, maintaining optimal water quality. Responded to emergencies and administered first aid, ensuring swift and effective incident resolution.
Projects
Student Scientific Conference 2024
Co-presented research paper "AI Tools in the Digital World Being Used for Crimes" at Matej Bel University. Analyzed survey results using pivot tables and charts, designed data visualization, analyzed key patterns and presented findings
International Business Case Competition 2025
Collaborated with a 7-member team to develop data-driven solutions and present strategic recommendations Analyzed financial and supply chain data to identify cost inefficiencies and improvement opportunities. Delivered findings under strict deadlines, improving accuracy and problem-solving speed.