Istanbul, Türkiye
A versatile individual with experience in exploratory data analysis, data visualisation, hypothesis testing, logistic regression and machine learning models such as Naive Bayes and decision trees. Proficient in using platforms for effective data analysis, cleaning and visualisation, including spreadsheets and Python. Possesses strong communication, organisational, and analytical skills. I recently completed the rigorous, hands-on Google Advanced Data Analytics Certificate programme, which covers the entire scope of the data analysis and data modelling process.
• Business requirements analysis and system support • SQL-based data checks, reporting, and validation • Monitoring of system issues and user requests • Coordination between business and technical teams • Support for process improvement and operational tracking • Documentation of system processes and issue records • Support for test planning, execution, and validation • Participation in functional testing and UAT • Preparation of test scenarios and defect follow-up
• Training in data analysis, preprocessing, and machine learning fundamentals • Work on real-world datasets for cleaning, visualization, and insight generation • Use of Python for data processing and analytical modeling tasks • Practice in model evaluation and interpretation of findings • Strengthening of analytical thinking and data-driven decision-making • Participation in project-based learning in data science and AI