Shreya Singh Tomar
About Shreya Singh Tomar
Shreya Singh Tomar is a Business Analyst with expertise in Machine Learning and experience in Microsoft Excel and R studios. She has a background in Forensic Science and Technology, and Life Sciences, and has worked in various roles in the data analysis field.
Work at Hevo Data
Shreya Singh Tomar has been employed at Hevo Data as a Business Analyst since 2021. In this role, she utilizes her expertise in data analysis and machine learning to contribute to the company's objectives. Her position involves analyzing data trends and providing insights that drive business decisions. Hevo Data focuses on simplifying data integration, and Shreya's analytical skills play a crucial role in enhancing the efficiency of data-driven processes.
Education and Expertise
Shreya Singh Tomar holds a Master of Science (MS) degree in Forensic Science and Technology from Guru Gobind Singh Indraprastha University, which she completed from 2017 to 2019. Prior to that, she earned a Bachelor of Science (BS) degree in Life Sciences from Delhi University, studying from 2014 to 2017. Her educational background supports her expertise in machine learning, along with practical experience in Microsoft Excel and R studios.
Background in Quality Assurance and Application Science
Before joining Hevo Data, Shreya worked at Elucidata in two distinct roles. She served as a Quality Assurance Engineer for five months in 2019, where she focused on ensuring the quality of software products. Subsequently, she transitioned to the role of Application Scientist from 2020 to 2021, contributing to the development of applications that leverage biological data. During her time at Elucidata, she developed a prediction model based on biological databases.
Interests and Aspirations
Shreya Singh Tomar has a keen interest in traveling to less explored places and sampling local cuisines. She aspires to integrate her passion for travel into her professional life, indicating a desire to explore opportunities that combine her interests with her career. This personal interest reflects her appreciation for diverse cultures and experiences, which may influence her approach to data analysis and problem-solving.