Senior Data Scientist at Joby Aero with 3+ years of innovating in a highly complex industry developing predictive models of physical degradation, failures and data-driven prognostics algorithms. Ph.D. from Virginia Tech with 4+ years of academic technical research experience in structural vibratory, noise and Rotor Dynamics, machine learning, signal analysis, modal testing and experimentation with a broad understanding of gas turbine and electric propulsion, innovative problem-solving ability, excellent communication and presentation skills with a competitive mindset for innovation. Experience includes:
• Leading a team of data scientists and engineers in developing diagnostic and prognostic algorithms for various structural com-
ponents.
• Expertise in developing predictive models of physical degradation, failures and data-driven prognostics algorithms.
• Hands on experience with physical understanding and health monitoring of rotating parts in an e-VTOL.
• Developed data-driven algorithms to model whole engine structural vibration in turbofan engines. Achieved a modeling accuracy
of more than 90%.
• Strong knowledge of working in a software industry with expertise in algorithms, data structures, architectures, big data (spark,
delta lake) and MLOps

A short 3 minute video regarding my work and thesis is shown on the left for interested viewers. The hyperlink link directs to my personal github page