About

Anany Sharma is a highly skilled Quantitative Research Analyst currently working at Quantbox Research. With a background in Computer Science from the prestigious Indian Institute of Technology, Kanpur, Anany has gained extensive experience in the field of research and software engineering. Anany's expertise lies in conducting quantitative research, analyzing large datasets, and developing statistical models. He has a strong understanding of various statistical techniques and tools such as regression analysis, time-series analysis, and machine learning algorithms. Anany has also worked on developing software solutions for clients during his time at Mosaic Market Research, LLC, where he worked as a Software Engineer. Anany's experience extends to working with leading companies such as Capital One, where he served as a Summer Intern. During his time at the company, he gained extensive experience in deploying Kubernetes clusters using AWS. Anany's proficiency in AWS and Kubernetes has made him a valuable asset to his current organization, where he has been instrumental in developing robust and scalable systems. Anany's technical skills include research scientist, software engineering, AWS, and Kubernetes. He has a deep understanding of these technologies and has been able to apply them to solve complex problems. Anany has 1.87 years of relevant experience, which has enabled him to develop a strong understanding of the industry and its requirements. Overall, Anany is a highly motivated and skilled individual who is passionate about research and software engineering. His expertise in quantitative research and software engineering, combined with his strong technical skills, make him an asset to any organization.