Atlanta, Georgia, United States
Senior Lead Data Scientist at Novelis working on failure prediction and anomaly detection in aluminum rolling mills worldwide.
Service architect in AT&T IoT Connected Car
Applying data science techniques to predict machine failure/anomalous operation in the aluminum rolling industry.
Programs engineer for inservice testing (IST), 10 CFR Appendix J containment integrity. Primary responsibility is oversight and implementation of the inservice test program. This includes analyzing pump and valve performance data to detect component degradation, identify systematic test error, and creation of new component tests as required. Other experience with engineering programs includes flow accelerated corrosion (FAC), thermal stratification, IWE/IWL, and License Renewal.
• Supported system engineers in system walkdowns, scoping meetings, and system mon- itoring • Identified a cognitive trend in reactor coolant system filter pressure, worked cross- functionally with maintenance to resolve cooling tower fan trips, clarified reportable fire protection impairments, and benchmarked industry for solutions to main steam valve room insulation
• Responsible for development of stochastic modeling program in Matlab to estimate efficiency of co-planar radiation detection crystals. • Benchmarked Flownex simulation software • Researched instrumentation and control methods used in the molten salt reactor ex- periment