Nakul Bajaj is a data scientist, machine learning operations engineer, educator, and mentor with more than eight years of experience in the data science and technology domain. He left a business management career and his family business in India to build an analytics career in Australia, and the experience of watching people struggle with manual, repetitive processes is what drew him to technology and automation.

In banking, he led a customer analytics team serving corporate and institutional customers, contributed to a custom blockchain solution that reduced cash flow lead time for an agriculture customer, and built a scalable, self-service business intelligence platform on the cloud providing custom reporting and insights to over six thousand business customers. After banking, he focused on building machine learning engineering and MLOps practices in the health industry.

Nakul is the co-author, with Jonas Christensen and Manmohan Gosada, of Data-Centric Machine Learning with Python, published by Packt, covering practical techniques for improving datasets, labels, and annotation quality. He has tutored data science graduates at Deakin University and The University of Queensland, volunteers every year to deliver lectures such as Starting in Data Science at RMIT University in Melbourne, and mentors students from universities across Australia. He holds a Masters degree in Information Systems with a Business Analytics specialisation from Deakin, a Bachelors degree in Information Systems from Monash University, and a Data Engineering nano degree from Udacity.