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Meric Ozcan

About

I am a Statistics student focused on data analytics, financial risk, and AI-driven decision systems.

 

My background includes over three years of hands-on experience in domestic and international e-commerce, where working with real business data to optimize sales performance led me to pursue statistics and data analysis more systematically. This experience strengthened my data-driven and risk-aware analytical thinking.

 

I have solid competence in problem definition, data collection, exploratory data analysis (EDA), and results interpretation, with growing experience in data cleaning, visualization, reporting, and applied statistical modeling. I prioritize interpretability, methodological rigor, and real-world applicability in analytical work.

 

Alongside my technical development, I am actively involved in academic and professional communities. I serve on the Board of Directors of GençKalDer İzmir, contributing to data-driven governance, AI-based scoring systems, and academic–technical projects.

 

My current interests lie in data analytics for finance, audit, and fraud risk, with a long-term goal of building a SaaS-based fraud detection and risk analytics platform. I have B2+ English proficiency and plan to learn German or French.

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SKILLS AND EXPERIENCE

Data Analytics & Statistical Foundations

  • Problem definition and analytical framing using real-world business and research data

  • Data collection, validation, and exploratory data analysis (EDA)

  • Statistical reasoning and results interpretation for decision support

  • Data cleaning, transformation, and quality assessment

  • Analytical reporting with a focus on clarity, interpretability, and insight generation

AI, Risk & Applied Modeling

  • Risk-aware analytical thinking for finance, audit, and fraud-oriented use cases

  • Introductory to intermediate experience in statistical modeling and feature engineering

  • AI-based scoring and ranking systems for decision-making frameworks

  • Member growth and engagement optimization using data-driven approaches

  • Emphasis on explainable, transparent, and scalable analytical solutions

Leadership, Projects & Professional Experience

  • Board Member at GençKalDer İzmir, contributing to data-driven governance initiatives

  • Leadership in academic and technical projects spanning analytics and AI

  • Experience translating analytical insights into organizational and operational strategy

  • Cross-functional collaboration with students, mentors, and industry professionals

  • Entrepreneurial background in domestic and international e-commerce and digital marketing

İLETİŞİM

CONTACT

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