Atul Sanjay

About Atul Sanjay

I build production-grade AI systems that predict and prevent critical failures, creating significant business value from complex sensor data. My unique academic foundation in Mechanical Engineering, Applied Statistics, and Computational Engineering provides a deep understanding of the underlying physics, leading to more robust and accurate models.Passionate about building scalable MLOps cultures and mentoring teams to deliver reliable AI solutions.Core Competencies:• Prognostics & Health Management (PHM)• Machine Learning & Deep Learning• MLOps & Causal Inference• Statistical Modeling & Bayesian Methods• Python & Cloud Computing (AWS/GCP)• Statistical Signal Processing & Kalman Filters

Experience

1. Senior Data Scientist, Prognostics

   Ford Motor Company

   Apr 2021 — Present · Dallas, TX, US

   Led the development of a battery prognostics monitor for 4M+ vehicles, generating 2M in annual revenue. Architected the core ML/Kalman Filter models, achieving >96% accuracy.• Engineered the production MLOps pipeline on GCP, cutting model deployment from weeks to days. Automated the entire model lifecycle, including data ingestion, retraining, and performance monitoring.• Drove the successful production launch by leading multi-stage validation and serving as the key technical liaison between data science, engineering, and product.

Education

• Visvesvaraya Technological University

  Bachelor of Engineering - BE, Mechanical Engineering

  2010 — 2014

• Bowling Green State University

  Master's degree, Applied Statistics with specialization in business analytics