ZaidKhan Pathan — Data Scientist
Leveraging Artificial Intelligence (AI), Machine Learning (ML), and Operations Research (OR) techniques is transforming the manufacturing sector by enabling data-driven decision-making, predictive maintenance, and process optimization. The integration of Digital Twins—including Asset Twins and Process Twins—further enhances operational efficiency by creating virtual replicas of physical assets and production processes. These technologies allow real-time monitoring, simulation, and performance analysis, leading to improved productivity, reduced downtime, and cost optimization. By combining advanced analytics with digital replication, manufacturers can proactively identify bottlenecks, forecast failures, and streamline operations, driving innovation and fostering a culture of continuous improvement across the value chain.
Stackforce AI infers this person is a Manufacturing Data Scientist specializing in AI and ML technologies.
Location: Mumbai, Maharashtra, India
Experience: 1 yr 8 mos
Skills
- Machine Learning
- Data-driven Decision-making
- Data Architects
- Statistical Data Analysis
Career Highlights
- Expert in AI and ML for manufacturing.
- Proven track record in process optimization.
- Strong background in data-driven decision-making.
Work Experience
Tata Chemicals
Graduate Data Scientist (1 yr 5 mos)
Mactores
Data Engineer (2 mos)
Blue Planet Infosolutions Pvt. Ltd., India
QA Analyst (5 mos)
Data Analyst (4 mos)
Pillai College of Engineering
Research Assistant (3 mos)
Technocolabs Softwares Inc.
Data Scientist (2 mos)
The Sparks Foundation
Data Scientist (1 mo)
Acmegrade
Machine Learning Engineer (1 mo)
Education
Bachelor of Technology - BTech at Pillai College of Engineering
