Deepak Dalakoti
About Deepak Dalakoti
Deepak Dalakoti is a Data Scientist at QBE Insurance in Sydney, Australia, with expertise in machine learning and programming. He holds a PhD in Mechanical Engineering from UNSW and has extensive experience in deep machine learning and big data analysis.
Work at QBE Insurance Group
Deepak Dalakoti has been employed at QBE Insurance Group as a Data Scientist since 2021. He works in Sydney, New South Wales, Australia, where he applies his expertise in machine learning and data analysis. His role involves utilizing advanced statistical methods and programming skills to enhance data-driven decision-making processes within the organization.
Education and Expertise
Deepak Dalakoti holds a Doctor of Philosophy (PhD) in Mechanical Engineering from UNSW Australia, which he completed from 2015 to 2019. He also earned a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Kanpur, from 2011 to 2015. His academic background includes specialized training in combustion research at Lawrence Berkeley National Lab in 2016. He has developed expertise in Tensorflow-probability and Bayesian methods for machine learning applications.
Background
Before joining QBE Insurance Group, Deepak Dalakoti worked at UNSW as a Postdoctoral Researcher from 2019 to 2021. He also served as a PhD Student at UNSW from 2015 to 2019. Additionally, he gained experience as a Data Scientist at Freelancer.com from 2017 to 2018. His professional journey reflects a strong foundation in data science and machine learning.
Technical Skills
Deepak Dalakoti possesses advanced programming skills in languages such as C++ and Fortran. He has over five years of experience working with big data using Python, and he has more than two years of experience in deep machine learning, focusing on analyzing large datasets. His technical skills support his work in developing sophisticated machine learning models.