Internships

Designed advanced anomaly detection techniques for large-scale multivariate time-series data, strengthening the resiliency of AT&T’s E911 emergency services across thousands of telecom sites.

Engineered scalable unsupervised learning pipelines to identify both short-term spikes and long-term performance degradations in critical KPIs, enabling proactive network monitoring.

Developed interpretable analytics and visualization tools to support network operations teams in rapidly diagnosing and mitigating service disruptions.

Developed a secure file transfer application to improve data security and efficiency across healthcare data workflows.

Collaborated with interdisciplinary teams to analyze complex data requirements and deliver solutions that streamlined communication and enhanced operational processes.

Contributed to enterprise data analytics efforts, applying software engineering and data management skills to support healthcare technology initiatives.