Md. Iqramul Hoque

Key Responsibilities:
• Spearheaded data-driven research in OR/ML, AML, and Digital Twin technologies to solve complex industrial problems.
• Developed scalable machine learning pipelines and digital twin simulations for real-time decision intelligence.
• Co-designed curriculum for the Winter ML Bootcamp, training peers on cutting-edge ML frameworks.

Built predictive models using Supervised/Unsupervised Learning, CNN, and RNN for credit scoring and emotion recognition.

Analyzed production flows using VSM & SMV. Applied Lean tools like JIT, Kanban, and Kaizen to optimize refrigerator production lines.