Shervin’s Portfolio

Hi there 👋. I am a Lead Data Scientist with extensive expertise in designing and implementing advanced machine learning solutions, driving over $60M in cost savings. Currently, I am leading cross-functional teams, fostering innovation, mentoring emerging data scientists, and collaborating closely with stakeholders to achieve strategic objectives.

Shervin’s Portfolio

🏭 DSaaS/Products

Inspection Optimizer [more]
- Advanced statistical analysis to optimize field inspections for +60 water utilities across USA.
LeadCAST Predict [more]
- End-to-end machine learning solution to predict water service lines’ materials across 45+ water utilities.
LeadCAST Service Line Replacement [more]
- End-to-end machine learning solution to optimize lead service line replacement program.
Water Main Failure [more]
- End-to-end machine learning solution for pipe-break prediciton in water service lines network.
Blockage Detection [more]
- End-to-end machine learning solution for detecting water blockage in sewer systems.
Water Pipe Replacement Optimization [more]
- End-to-end machine learning solution for water pipe replacement.

🤝 Mentorships

Noah A. Foilb, MSc Computer & Data Scientist [2024-]
Milad Omrani, MSc Senior Data Scientist [2023-]
Adham El Fawal, MSc Computer & Data Scientist [2022-]
Michaela Palmer, MSc Data Scientist [2024-25]
Mohammad Mahdavi, PhD Geotechnical Engineer & Data Scientist [2024-25]

📗 Selected Publications

Damage detection for structural health monitoring using reinforcement and imitation learning.
Structure and Infrastructure Engineering, Taylor & Francis, 2024

Anomaly detection using state-space models and reinforcement learning.
Structural Control & Health Monitoring, Wiley & Sons, 2021

OpenBDLM: an open-source software for structural health monitoring using Bayesian dynamic linear models.
ICASPCE, South Korea, 2019

The application of data mining and cloud computing techniques in data-driven models for structural health monitoring.
SPIE, USA, 2016