Code Annotation and Software Quality Review
Reviewed and analyzed source code snippets written in Java, Python, and SQL to classify functionality, identify programming concepts, and evaluate code quality.
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I am a Software Engineer with a Master's level background in Data Science and experience working with data preparation, validation, quality assurance, and machine learning projects. My work has involved collecting, cleaning, transforming, and analyzing structured and unstructured datasets to support data driven, decision making and predictive models. I have experience using Python, SQL, PostgreSQL, MongoDB, and data analytics tools to ensure data accuracy, consistency, and reliability throughout the data lifecycle.
Reviewed and analyzed source code snippets written in Java, Python, and SQL to classify functionality, identify programming concepts, and evaluate code quality.
Annotated image datasets for computer vision applications by identifying and labeling objects such as vehicles, pedestrians, traffic signs, and road infrastructure using bounding boxes. Performed quality assurance reviews to ensure annotation accuracy and consistency according to project guidelines.
Analyzed and categorized student performance data to identify academic trends and learning patterns. Reviewed data quality, corrected inconsistencies, and organized information for statistical analysis.
Prepared, cleaned, and validated financial datasets for analysis and reporting purposes. Classified financial records into categories, identified data inconsistencies, and performed quality assurance checks to ensure accuracy.
MASTER'S IN DATA SCIENCE AND BUSINESS INTELLIGENCE, COMPUTER SCIENCE
SOFTWARE ENGINEER, COMPUTER SCIENCE
Software Engineer
Quality Control Manager