Full Name
Dr. Rachna Dhand
Job Title
Manager Data Science
Company
Rio Tinto
Speaker Bio
Accomplished Data Scientist and Leader with over 20 years of experience in problem-solving, machine learning, and automation.
For most of the decade, Rachna had worked in a variety of roles in the higher education, oil and gas, and metals and minerals sector across India and Australia.
She completed her doctorate in Control Engineering and Predictive Analytics from the School of Engineering and Energy, Murdoch University, in 2011. Since then, she is working in Data Science & AI domain. Prior to moving to Australia, she was working as an academic with her research focussing on programming methodologies like SOAP/CORBA and Internet message passing optimization.
She has been working in the Data Science and Analytics domain involving developing and managing multiple AI Projects. Her expertise is in the application of machine learning across various domains including education, asset maintenance, mining, and publishing sectors. All her projects are successfully deployed and play an integral role in business intelligence and improvement.
During the course of her rich career spanning across 20 years, she has deployed successful AI tools using an agile approach and driven significant changes in a variety of industrial domains focusing on the application of Data Science and Predictive Analytics to drive business transformation.
For most of the decade, Rachna had worked in a variety of roles in the higher education, oil and gas, and metals and minerals sector across India and Australia.
She completed her doctorate in Control Engineering and Predictive Analytics from the School of Engineering and Energy, Murdoch University, in 2011. Since then, she is working in Data Science & AI domain. Prior to moving to Australia, she was working as an academic with her research focussing on programming methodologies like SOAP/CORBA and Internet message passing optimization.
She has been working in the Data Science and Analytics domain involving developing and managing multiple AI Projects. Her expertise is in the application of machine learning across various domains including education, asset maintenance, mining, and publishing sectors. All her projects are successfully deployed and play an integral role in business intelligence and improvement.
During the course of her rich career spanning across 20 years, she has deployed successful AI tools using an agile approach and driven significant changes in a variety of industrial domains focusing on the application of Data Science and Predictive Analytics to drive business transformation.
Speaking At
