Maria Alena Edora

Alena graduated cum laude in 2021, completing the BS Applied Physics program as a DOST-SEI Merit Scholar. For her research work she used a sparse autoencoder to identify anomalous network intrusions from connection metadata. She has applied her knowledge in data science by analyzing financial data for fraudulent transactions. Alena is currently a data engineer tasked with maintaining the datalake and ETL pipelines for her company's data infrastructure.

BS Thesis: 

Quantifying the performance of a sparse autoencoder in detecting network anomalies