Data Science/Analytics Manager with experience in deploying AI/ML products in a global enterprise. Expertise in all aspects of manufacturing (engineering, launch, production, maintenance & quality), specific expertise in 6 Sigma & Lean Manufacturing and Big Data/IIoT Analytics within the Manufacturing domain.

Directing a global team (Dearborn, Cologne and Chennai) of Data Scientists to deliver analytics solutions supporting Manufacturing Operations and Engineering:
- Predictive Maintenance: AI/ML models to transition to condition based maintenance using machine signal and sensor data with the objective of improving equipment up-time
- Quality Monitoring & Improvement: Mine process and end of line inspection data to provide near real-time feedback to improve quality; Correlate machine signal data with sampled quality characteristics to migrate to 100% inspection using AI/ML models
- Optimization Based Decision Support: Batch production schedule optimization driven by demand and subject to manufacturing constraints to minimize cost and inventory; Optimize sourcing decisions based on capacity and logistics constraints to minimize cost; Allocation of operators to assembly lines and features to machining lines to maximize utilization and minimize cost
- Product Usage Feedback (Connected Vehicle Data) Utilization: Improve quality and reduce warranty through enhancing in-plant inspection strategies; Improve vehicle location efficiency based on GPS data
- Labor Management Support: Minimize the time to shift startup by tracking present employees and identifying the most suitable replacements from available unassigned employees
Collaborating with the OT (Operational Technology) and IT (Information Technology) teams to plan and execute strategies for large scale (80+ plants, 0.5 M assets) data acquisition and ingestion into the data lake for development of analytics apps.

Leveraging on-prem analytics technology components such as Qlikview, Tableau, Alteryx, Python, Spark, Hadoop, Hive, SQL, Kafka, MQTT, Springboot, Angular, Pivotal Cloud Foundry and Data Robot to deliver solutions. Leveraging Google Cloud Platform (GCP) services for cloud based solutions.
Over 25 years’ experience in high volume automotive manufacturing in operations and engineering. Academic qualifications include Doctor of Engineering from Texas A&M University, Data Science certification from Harvard Extension and 6 Sigma Master Black Belt certification.

Ford is a global company with shared ideals and a deep sense of family. From their earliest days as a pioneer of modern transportation, Ford Motor Company has sought to make the world a better place – one that benefits lives, communities and the planet.