BPBenson Pang
@bensonpang
AI & Data Science leader driving operational analytics and predictive models.
SingaporeWhat I'm looking for
I am an AI and Data Science professional with 13+ years designing and deploying advanced analytics and machine learning solutions for large-scale operational environments. I combine domain knowledge in manufacturing and operational intelligence with production-grade ML and data engineering skills.
At HP Inc. I built end-to-end predictive pipelines, implemented SPC-based anomaly detection dashboards in Power BI/Databricks, and developed multilingual NLP workflows using Llama4 to automate feedback processing. My work emphasizes MLOps, statistical rigor, and early-warning indicators to support decision-making and risk monitoring.
Previously, I led operational analytics and continuous improvement programs at Micron Semiconductor, delivering significant efficiency gains, cost reductions, and automated workflows that saved hundreds of man-hours weekly. I have hands-on experience in predictive maintenance, fraud/AML analytics, and building scalable data pipelines on Azure and Databricks.
I am completing a Master of Computer Science (AI) and have a strong foundation in Python, Spark, SQL, ML/DL models, visualization tools, and automation. I focus on translating complex data into actionable insights that improve operational performance and enable proactive interventions.
Experience
Work history, roles, and key accomplishments
HIBuilt anomaly detection dashboards and end-to-end predictive pipelines for NPS, CCR and CFR using Databricks, Power BI and Python, enabling early detection of operational anomalies and statistically valid monitoring. Developed multilingual NLP solutions with Llama4 and led Azure data migration to scale analytics workflows.
Senior Operation Analyst
Micron Semiconductor Asia
Sep 2010 - Mar 2023 (12 years 6 months)
Led manufacturing operational efficiency and continuous improvement projects, delivering a 10% reduction in operational costs and implementing automation that saved hundreds of man-hours weekly through database and dashboard solutions. Drove predictive maintenance models to reduce downtime using Python and ML.
Process Engineer
STMicroelectronics
Jul 2006 - Aug 2010 (4 years 1 month)
Implemented SPC-driven process improvements and yield enhancement projects, leading root cause analyses and equipment qualification to improve product quality and production efficiency. Managed multiple process projects from concept to implementation.
Education
Degrees, certifications, and relevant coursework
UMUniversiti Teknologi Malaysia
Master of Computer Science, Computer Science (Artificial Intelligence)
2023 -
Pursuing a Master of Computer Science (AI) with practical projects in fraud detection, predictive maintenance, NLP, and generative AI applications.
SPSingapore Polytechnic
Specialist Diploma in Data Science (Artificial Intelligence), Data Science / Artificial Intelligence
2023 - 2024
Grade: 3.86/4.0
Completed a Specialist Diploma in Data Science (Artificial Intelligence) with coursework in data mining, machine learning, deep learning for computer vision, and predictive analytics.
NUNanyang Technological University
Bachelor of Engineering, Electrical and Electronic Engineering
2002 - 2006
Grade: Upper Second-Class Honours
Completed a Bachelor of Engineering in Electrical and Electronic Engineering with Upper Second-Class Honours, focusing on process optimization and statistical process control applicable to manufacturing and operational analytics.
Tech stack
Software and tools used professionally
Availability
Location
Singapore
MalaysiaSalary expectations
Social media
Job categories
Skills
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