Computer Science graduate and MSc Artificial Intelligence student with practical experience in data management, data quality, and advanced proficiency in Microsoft Excel and CRM systems. Demonstrated ability to analyze complex datasets, ensuring high standards of data integrity, and contributed to projects involving data-driven solutions. Achieved an F1-score of 0.78 in predictive modeling, reflecting a commitment to delivering impactful results.
Skilled in Python-based data cleaning, validation, preprocessing, and feature engineering, with experience building end-to-end pipelines and integrating AI APIs to improve workflow efficiency. Comfortable working independently while meeting deadlines, documenting workflows, and communicating findings clearly to support real-world healthcare and AI applications.
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