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Computer Code ProgrammingI have hands-on experience in data labeling and AI training data, specializing in preparing high-quality datasets for machine learning and predictive analytics projects. My background includes labeling behavioral data, validating data integrity, and collaborating with cross-functional teams to define annotation criteria. I have worked with tools like Excel, Python (Pandas), and cloud platforms to process, clean, and structure both structured and unstructured data for AI model development. What sets me apart is my attention to detail, understanding of data quality’s impact on model performance, and ability to translate domain-specific knowledge into consistent labeling guidelines. I have contributed to open-source projects and startup teams, ensuring that annotation workflows are efficient and outputs support robust, bias-aware AI solutions.
The business needed a large dataset to test the metrics in their platform. So, i used prompt engineering to populate 100,000 rows of dataset that matches the data on their platform.
Master of Data Science, Data Science with Artificial Intelligence
Bachelor of Science, Computer Science
Product Manager
Data Analyst
