Moumita Samanta

Moumita Samanta is a Data Engineer at Oak Ridge National Laboratory (ORNL) with extensive experience spanning secure data engineering, cloud automation, application security, and advanced analytics. Her work focuses on designing and operationalizing scalable, resilient data pipelines; automating complex enterprise workflows; and applying machine learning and deep learning techniques to security, risk, and large-scale data challenges.

She brings over five years of professional experience across national laboratory, industry, startup, and academia, with strong technical expertise in Python, SQL, Azure DevOps, Terraform, cloud infrastructure, and CI/CD automation. Moumita has led and contributed to end-to-end ETL systems, infrastructure-as-code deployments, and data-driven security analytics platforms, supporting both operational decision-making and regulatory compliance.

Her background in application security includes vulnerability assessment, risk analysis, threat modeling, and the development of dashboards and reporting frameworks to visualize security posture and remediation trends. She has applied machine learning and deep learning approaches to analyze large, complex datasets for anomaly detection, flaw prioritization, and performance optimization.

Moumita holds a Master of Science in Computer Science from the Georgia Institute of Technology with a specialization in Computing Systems and Security, and a Master’s degree in Information Technology from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur. She has also conducted research and development in machine learning, hyperspectral imaging, computational pharmacology, and web security across international academic and research institutions.

She is highly motivated, detail-oriented, and results-driven, with a strong interest in secure system design, data-intensive computing, and the responsible application of AI. Moumita is passionate about continuous learning, mentoring, and building robust, mission-aligned technical solutions that bridge research and real-world impact.