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Meric Ozcan

I gained 3 years of domestic and international e-commerce and digital marketing experience in my own venture. While trying to improve sales performance using my business's data, I realized my passion for statistics and data analysis.


In the data analysis process, I have a good level of competence in the Problem Definition, Data Collection, Data Discovery (EDA) and Results Interpretation stages; an intermediate level in the Data Cleaning, Data Visualization and Reporting - Presentation stages; and an entry level in the Data Manipulation - Preparation, Data Analysis - Modeling and Development - Improvement stages.


I am a member of the best societies in my university and in Izmir. I have been on the board of directors of GencKalder Izmir since 11.2024 and I both take part in and carry out academic and technical projects.


I have B2+ English proficiency.

I plan to learn German or French in the future.


I am currently interested in data analysis and data analytics.
I am interested in finance, inspection and analytics departments in the banking sector.

After gaining sufficient experience in my career, I aim to develop a venture that provides SaaS services in the field of fraud detection.

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ÖZGEÇMİŞ

PROFESSIONAL EXPERIENCE

Banking Internship

QNB Turkey

Istanbul

  • Activities: Advanced Excel · Problem Solving · Presentation Techniques

01.2025 -  02.2025

Business Founder

Izmir

  • Activities: Management · Financial Planning · Business Process & Strategic Planning

05.2021 - 05.2024

Accounting Office Staff

  • Activities: Bookkeeping · Excel

07.2020 -  08.2020

EDUCATION

Ege University

Bachelor's Degree in Statistics

Izmır, Turkey

09.2022 - 06.2027

Artificial Intelligence and Technology Academy

Google Advanced Data Analytics, Google Project Management and Entrepreneurship Trainings

01.2025 - 08.2025

PROJECT EXPERIENCE

TÜBİTAK 2209-A | Project Manager
Optimization of Safe Delivery of Cargoes with Artificial Intelligence

  • Conducting quantitative research on logistics risk analysis and management for international maritime deliveries

  • Designing a web-based system that provides autonomous logistics risk and satisfaction reports using AI

  • Creating a data analysis and forecasting platform that predicts e-commerce customer satisfaction and shipping risks by analyzing open-source customer reviews.

FraudShield: Real-Time Transaction Risk Scoring System

  • This project analyzes credit card transactions in real time and provides users with a risk score between 0–100.

  • A user-friendly Streamlit interface visualizes the score and instantly reports low, medium, and high risk levels.

  • By using statistical methods, machine learning, and imbalanced data techniques such as SMOTE, the reliability of transactions is measured, enabling a more robust evaluation of system performance and decision-making.

Shell Eco Marathon Hydrogen Fuel Electric City Vehicle Competition Category Project Team

  • Conducted multi-criteria parameter optimization studies for hydrogen-powered electric vehicles.

  • Focused on weight, cost, and energy efficiency analyses to enhance performance and competitiveness.

  • Integrated machine learning-based algorithms and mathematical modeling techniques to improve the reliability of results.

SKILLS AND EXPERIENCE

Statistics

  • Data Analysis

  • Data Analytics

  • Statistical Research

  • Data Visualization and Reporting

Technical Skills

  • Python

  • SQL

  • Excel

  • Power BI

Soft Skills

  • Project Management

  • Crisis Management

  • Effective Presentation

  • Analytical and Creative Thinking

İLETİŞİM

CONTACT

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