Data Annotator
Annotate geospatial data by mapping based on the query given the user
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I am passionate about working with data and building high-quality AI solutions, with hands-on experience in data preprocessing, feature engineering, and model training across domains such as NLP, finance, and operations. My projects include developing sentiment analysis pipelines for customer feedback, where I cleaned and annotated text data, and implementing automated summarization and keyword extraction using TF-IDF and clustering techniques. I have also worked extensively with large, real-world datasets—optimizing data pipelines for credit risk prediction and flight delay analysis—leveraging tools like Python, Pandas, scikit-learn, and XGBoost. My strong foundation in data handling, annotation, and machine learning, combined with my ability to extract actionable insights from raw data, enables me to contribute effectively to AI training data and data labeling initiatives.
Annotate geospatial data by mapping based on the query given the user
Evaluated responses generated by LLMs and gave feedback on certain rubrics to help fine tune the model and give better responses to the query.
Bachelor of Science and Master of Science, Mathematics and Computing
High School Diploma, Science
Software Developer Intern