Sai Ramesh

Sai Ramesh is an Associate Data Scientist with recent experience at Atlassian, where a sequential testing algorithm, HybridSPRT, was developed to significantly reduce A/B test runtime. Prior roles included analytical research at Michigan State University, where contributions spanned from analyzing rice genome data in the Wang Computational Biology Lab to implementing a real-time inference framework for facial detection in the iPRoBe Lab. Ramesh also worked with Delta Dental on synthetic data generation for enhanced data privacy, and completed internships with Ford Motor Company focused on object detection and data integration projects. Educational qualifications include a Bachelor of Science in Computational Data Science and a Master of Science in Computer Science, both from Michigan State University, with high academic performance.