• Developed and executed Python scripts to run large-scale linear programming models for COVID-19 data analysis.

• Aggregated and processed metadata using Apache Spark from sources such as Johns Hopkins and NY Times into PostgreSQL DB, creating visual reports and dashboards analytics.

• Modified and optimized Machine Learning anomaly detection using TensorFlow and PyTorch to incorporate vaccination and recovery data, achieved 91.2% accuracy in classification through improved feature selection and model tuning.