Rima Chaudhuri, PhD
About Rima Chaudhuri, PhD
Rima Chaudhuri, PhD, is a Lead Data Scientist based in Sydney, Australia, with extensive experience in data science and machine learning. She has held various roles in prestigious institutions and companies, including Phoenix HSL and Finder, and has authored numerous scientific publications.
Work at Finder
Rima Chaudhuri has been employed as the Lead Data Scientist at Finder since 2021. In this role, she applies her expertise in data science to develop innovative solutions within the FinTech sector. Her responsibilities include leading research initiatives and implementing machine learning models to enhance data-driven decision-making processes. Chaudhuri's work at Finder builds on her extensive background in data science and machine learning.
Previous Experience in Data Science
Prior to her current position, Rima Chaudhuri worked at Phoenix HSL from 2018 to 2021 as a Team Lead and Manager in Machine Learning. She also served as a Senior Data Scientist and Researcher at the Charles Perkins Center at the University of Sydney from 2014 to 2017. Her earlier roles include a Postdoctoral Researcher position at the Institute for Research in Biomedicine / Barcelona Supercomputing Center and a Data Scientist role at the Garvan Institute of Medical Research. These positions contributed to her comprehensive knowledge in data science and machine learning.
Education and Expertise
Rima Chaudhuri earned her PhD in Bioinformatics from the University of Illinois Chicago, where she studied from 2005 to 2010. She also holds a Bachelor of Business Administration in Information Systems and Computer Science from Georgia College and State University, completed in 2004. Chaudhuri specializes in the application of statistical, biophysical, and computational models in big data and medical/biological research data, with extensive experience in High Performance Computing (HPC).
Research Contributions and Publications
Rima Chaudhuri has authored 28 scientific publications, which include two international patents related to computational methodology. Her research contributions span various aspects of data science and machine learning, particularly in the context of medical and biological data. Chaudhuri's work has been recognized through multiple grants, scholarships, and awards, and she has been invited to present at national and international conferences.
Internships and Early Career
Rima Chaudhuri began her career with internships that laid the foundation for her expertise in data science. She worked as a Computational Chemistry Intern at Pfizer in 2008 and as a Research Assistant in Bioinformatics at Georgia College and State University in 2004. These early experiences provided her with valuable insights into research methodologies and data analysis techniques.