Junior Data Annotator
Worked for a US company to distinguish image factors by using python
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I am a data science undergraduate with hands-on experience in data cleaning, preprocessing, and structured data handling, making me well-suited for roles in data labeling and AI training data preparation. I have worked extensively with Python, Excel, and SQL to transform raw datasets into accurate, well-organized formats for analysis. My projects include collecting and validating survey data, performing exploratory data analysis, and documenting data processes to ensure clarity and reproducibility. I am skilled in identifying anomalies, ensuring data quality, and maintaining high standards of accuracy and consistency—essential for effective data annotation and labeling tasks. My experience with ETL workflows, data validation, and reporting, along with my adaptability and attention to detail, equip me to contribute to high-quality AI and machine learning projects.
Worked for a US company to distinguish image factors by using python
Bachelor of Science, Data Science
Data Science Project Intern
Project Intern