Data Scientist · Assistant Professor

Hi, I'm Nitish.
I build simulations, digital twins, and AI for manufacturing.

Data Scientist at KMWE and part-time Assistant Professor at Eindhoven University of Technology. I work at the intersection of operations research, simulation, and machine learning — turning shopfloor data into decisions.

Nitish Singh
About

Bridging research and the shopfloor

I recently completed my PhD in Industrial Engineering at TU/e, where I worked on dispatching and scheduling algorithms for autonomous fleets in high-mix, low-volume manufacturing.

Today I split my time between two roles: as a Data Scientist at KMWE I build digital platforms, AI agents, and analytics tooling for daily production; as a part-time Assistant Professor in the OPAC group at TU/e and a member of the AIMM research consortium at EAISI, I research intelligent and interoperable shopfloors — Unified Namespace architectures and agentic AI for adaptive production.

What I'm doing now

Current roles

Assistant Professor (Part-time)
Eindhoven University of Technology
Oct 2025 – present · Eindhoven, NL

OPAC group (Operations Planning, Accounting & Control), and member of the AIMM (AI-Enabled Manufacturing & Maintenance) research consortium at EAISI. Research on intelligent, interoperable shopfloors — Unified Namespace and agentic AI for adaptive production.

Data Scientist
KMWE, Brainport Industries Campus
Aug 2024 – present · Eindhoven, NL

Designing digital platforms, AI agents, and Power BI dashboards for production. Integrating data across ERP, MES, and shopfloor systems to drive Industry 4.0 adoption.

Research interests

What I work on

Simulation modelling Digital twins Deep reinforcement learning Quantitative methods Process mining Unified Namespace Agentic AI Lean Six Sigma (Black Belt)
Tools & technologies

Day-to-day stack

Python PyTorch AnyLogic SimPy Plant Simulation Gurobi SQL Java React Power BI