Summary
Chakresh Singh is a Data Science Consultant based in Munich with a Ph.D. in Physics and eight years of experience applying machine learning, statistical modeling, and network science to large-scale and unstructured datasets. He bridges academic rigor—built through doctoral and postdoctoral research on dynamical networks and collaboration systems—with practical consulting skills in Python, SQL, MLOps, and BI tools to deliver actionable insights to stakeholders. His work spans graph-based ML, prediction and simulation, and scalable analytics on cloud platforms, and he routinely packages models for deployment and monitoring. A penchant for complex systems informs his approach, enabling him to spot non-obvious patterns in collaboration and textual data that drive strategy. Outside projects, he experiments with Gen-AI, full-stack web apps, and containerized cloud ML workflows, staying at the forefront of emerging tooling.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Indian Institute of Technology Gandhinagar (IITGN)
High School, High School at DR. Virendra Swarup Education Centre (X)
Indian Institute of Technology Kanpur
Puranchandra Vidyaniketan
University of Delhi
English, Hindi, German