Reyhan Duygu

Collected, processed, and analyzed on-chain transaction data using Python and database technologies to support phishing and fraud detection workflows. Developed test scenarios, conducted functional and code-level testing of blockchain analytics chatbots, identified software bugs, and opened issues for the development team.

Developed an anomaly detection microservice and prepared a demo version for an MPC-blockchain project. Built frontend with React Vite, researched ZKP and MPC algorithms, and prepared analysis, design, and literature reports for a TUBITAK 1507 project.

Prepared documentation for the Para Plan project and managed weekly sprints and Jira stories.

Created virtual environments with Unity for the Mistikist application and used Firebase for user authentication. Developed smart contracts in Solidity for virtual authorization security.

Pursuing a Master's degree in Computer Engineering with a thesis on an adjacency-based tensor framework for phishing attacker address detection, integrating blockchain analytics, graph neural networks, tensor decomposition, and machine learning.

Completed a 14-week 21st Century Competencies Training Program covering effective presentation, teamwork, career planning, Excel modeling, and various literacies.

Participated in the Aspire Leaders Program, which enhanced self-confidence, critical thinking, communication skills, and a desire for social impact.

Grade: 3.55

Activities and societies: Metaverse Research Group (Main Member, 2021–2025), Computer and Informatics Society (Board Member, 2021–2022)

Graduated with a Bachelor's degree in Computer Engineering (English) in January 2025, one semester early, with a CGPA of 3.55. Thesis on a privacy-oriented distributed and decentralized warehouse management system (zk-DEPO).