Key Skills

Freelancer Overview

I have a strong background in computer science and hands-on experience with data-driven projects, particularly in machine learning and analytics. My work includes developing a patient readmission prediction system using Python, Pandas, and scikit-learn, where I handled large healthcare datasets, performed data preprocessing (imputation, outlier detection, feature scaling), and addressed class imbalance with SMOTE. I have built data ingestion and normalization pipelines, worked extensively with databases like MongoDB and MySQL, and optimized query performance for real-time analytics. My skills in data annotation, feature engineering, and model evaluation are complemented by experience in creating statistical reports and data visualizations to extract actionable insights. I am comfortable working with diverse data types, including structured, unstructured, and time-series data, and am motivated by contributing to high-quality AI training data and annotation processes.

Labeling Experience

Education

Work History