Viraj A A Sanghai

Quant / Data Scientist at Mosaic Smart Data

Viraj A A Sanghai has a diverse work experience spanning multiple industries and roles. Viraj A A started their career as an Administrative Assistant at Simportex Limited in 2009 and also worked as a Teaching Assistant at Kumon Mathematics and English Education. In 2010, they worked as a Research Assistant at Midlands Ultra-cold Atoms Research Centre. In 2012, they gained experience as a Summer Research Intern at the Condensed Matter Theory Group, University of Nottingham. Viraj A A then served as a Graduate Teaching Assistant at Queen Mary University of London from 2013 to 2016. In 2017, they worked as a Visiting Lagrange Fellow at the Institute d'Astrophysique de Paris and continued their research career as a Postdoctoral Research Fellow at Dalhousie University from 2017 to 2018. Currently, they hold the position of Quant / Data Scientist at Mosaic Smart Data since June 2019.

Viraj A A Sanghai began their education journey in 2009 at the University of Nottingham, where they pursued a Bachelor of Science degree in Physics with Theoretical Physics. Viraj A A completed their undergraduate studies in 2012 and continued their education at the University of Cambridge, where they obtained a Master of Advanced Study (MASt) degree in Applied Mathematics.

In 2013, Viraj enrolled at Queen Mary University of London to pursue a Doctor of Philosophy (PhD) degree in Theoretical and Mathematical Physics. Viraj A A completed their doctoral studies in 2017, further enhancing their expertise in the field.

Throughout their educational journey, Viraj also engaged in various additional certifications to expand their knowledge and skills. Viraj A A obtained a Certificate in Fixed Income Trading and Sales (CFITS) - Level I from Moody's Analytics in April 2023. Furthermore, they completed several online courses on platforms like Coursera and DataCamp, covering topics such as deep neural networks, machine learning, econometrics, time series analysis, and more. Additionally, they acquired expertise in areas including Python programming, linear algebra, regression analysis, and SQL.

With their comprehensive education background, including advanced degrees in applied mathematics and theoretical physics, as well as diversified certifications in finance, data analysis, and machine learning, Viraj A A Sanghai possesses a strong foundation for pursuing a wide range of career opportunities in academia, research, finance, or data analysis.

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