Meric Ozcan
About
Statistics student and Junior Data Analyst with a focused interest in quantitative risk modeling, fraud analytics, and AI-driven analytical solutions.
My interest in data analysis developed through hands-on experience in my own entrepreneurial venture, where I leveraged data to optimize sales performance and operational efficiency. This experience strengthened my ability to apply data-driven thinking in risk-sensitive contexts.
I am particularly interested in statistical modeling, predictive analytics, and anomaly detection for financial risk and fraud-related problems, and I continuously develop my skills in quantitative methods and data analysis.
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Fluent in English (B2+). Currently learning German (A2→B1) and targeting MSc studies in Germany.
SKILLS AND EXPERIENCE
Data Analytics & Statistical Foundations
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Problem definition and analytical framing using real-world business and research data
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Data collection, validation, and exploratory data analysis (EDA)
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Statistical reasoning and results interpretation for decision support
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Data cleaning, transformation, and quality assessment
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Analytical reporting with a focus on clarity, interpretability, and insight generation
AI, Risk & Applied Modeling
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Risk-aware analytical thinking for finance, audit, and fraud-oriented use cases
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Introductory to intermediate experience in statistical modeling and feature engineering
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AI-based scoring and ranking systems for decision-making frameworks
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Member growth and engagement optimization using data-driven approaches
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Emphasis on explainable, transparent, and scalable analytical solutions
Leadership, Projects & Professional Experience
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Board Member at GençKalDer İzmir, contributing to data-driven governance initiatives
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Leadership in academic and technical projects spanning analytics and AI
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Experience translating analytical insights into organizational and operational strategy
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Cross-functional collaboration with students, mentors, and industry professionals
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Entrepreneurial background in domestic and international e-commerce and digital marketing
