Arun Ravishankar
About Arun Ravishankar
Arun Ravishankar is a Data Scientist at Rover.com with a strong background in physics and extensive experience in data science and machine learning.
Company
Arun Ravishankar is currently employed at Rover.com, serving as a Data Scientist since 2021. Rover.com, located in the Greater Seattle Area, is a well-known platform that connects pet parents with pet sitters and dog walkers. His role involves applying advanced data analysis techniques and machine learning models to enhance the platform's features and user experience.
Title
Arun Ravishankar holds the title of Data Scientist at Rover.com. His work focuses on leveraging data science methodologies to solve complex problems and optimize business processes. This role involves extensive use of programming languages including Python and R, as well as a variety of data science tools and machine learning libraries.
Education and Expertise
Arun Ravishankar completed his Doctor of Philosophy (PhD) in Physics at the University of Arizona, where he also earned a Master of Science (MS) in the same field. Prior to that, he earned a Master's Thesis in Mathematics and Theoretical Physics from Ludwig-Maximilians Universität München and completed an Integrated MSc. (Hons.) in Physics and a Bachelor of Pharmacy (Hons.) at Birla Institute of Technology and Science, Pilani. His academic journey demonstrates a strong foundation in physics, enhanced by expertise in data science tools and techniques such as numpy, pandas, scikit-learn, and tensorflow.
Professional Background
Arun Ravishankar's professional background includes various roles at the University of Arizona, where he served as a Graduate Research Associate, Graduate Teaching Associate, and Graduate Council member. His experience spans over six years, encompassing responsibilities in research, teaching, and governance. Additionally, he worked as a Content Producer at Fascination based Learning in Munich, contributing to educational content development. His career trajectory illustrates a blend of academic leadership and practical application in multiple scientific and technical domains.
Technical Skills and Tools
Arun Ravishankar is proficient in several programming languages and data science tools, including Python, R, and Wolfram Mathematica. His technical skill set covers mathematical modeling, high-performance computing, machine learning techniques (regression, classification, clustering, Bayesian statistics), and documentation/version control using LaTeX and Git. His comprehensive understanding extends to various physics domains, such as quantum physics, general relativity, and solid-state physics.