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Freelancer Overview

I am a highly motivated data scientist and engineer with a strong background in machine learning, data engineering, and public health. My experience spans designing and optimizing large-scale data pipelines, conducting feature engineering, and performing exploratory data analysis on complex and high-volume datasets. I have hands-on expertise using tools such as PySpark, Databricks, Power BI, and Azure SQL, and have worked on projects involving customer analytics, predictive modeling, and medical data analysis—including deep learning applications for predicting diabetic readmission risk and analyzing social media misinformation during the COVID-19 pandemic. My passion lies in building reliable, high-throughput data systems and applying advanced machine learning techniques to create high-quality, well-annotated datasets that power robust AI solutions across domains like healthcare, finance, and market analytics.

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