Samet Aydın

• Managed, performed, and executed both manual and automated test cases while ensuring automatic post-deployment testing and contributing to product quality improvement within CI/CD processes. • Implemented test automation codes using Java/Python and Selenium. • Designed a dashboard using PowerBI, improving test analysis and usability. • Conducted CRM analytics for customer segmentation (RFM/CLTV) • Provided advice for R&D projects in data science, contributing to innovation and research-driven initiatives.

• Mentored and motivated over 30 bootcamp participants, ensuring their success by following up regularly and facilitating project completion. • Prepared course notes and provided guidance on various topics in Data Science. • Conducted mentor meetings, made lesson recaps and solve homework.

• Utilized diverse data analysis techniques and tools to analyze and understand datasets. • Applied feature engineering methods to extract meaningful features. • Developed prediction models using machine learning algorithms and optimized them. • Employed visualization tools and charts to effectively present results.

• CRM Analytics (KPI, Cohort, RFM, CLTV, Segmentation) • Machine Learning (Regression, KNN, CART, Trees, Unsupervised Learning, Pipelines.) • Measurement Problems (Rating & Sorting Products, Sorting Reviews, A/B Testing) • Feature Engineering, MS SQL

• Implemented automation with Python and Selenium WebDriver. • Created test plans, test cases, and test reports. • Performed Database Testing with Python. • Detected, reported and tracked defects using JIRA. • Prepared documentation for the sales page using Confluence.

• Used HTML, CSS and JS in the web development process. • Supplied the reporting needs of other departments with SQL.

Excelled in QA and AI coursework. Completed a senior project to predict depression, anxiety and stress according to the DAS data that include 40k people’s survey answers. Used ANN, Random Forest, J-48, LibSVM, and Naive Bayes algorithms.