Nikita Singh
About Nikita Singh
Nikita Singh is a Manager of Analytics at Resident, where she has worked since 2018. With over a decade of experience in data-driven decision making, she specializes in large data processing, analysis, visualization, and modeling.
Work at Resident
Nikita Singh has been serving as the Manager of Analytics at Resident since 2018. Based in the Mumbai Area, India, she has contributed to the company's analytics initiatives for six years. In her role, she focuses on data-driven decision-making and providing actionable insights that support business objectives.
Professional Experience
Nikita Singh has over a decade of experience in analytics and data processing. Prior to her current position at Resident, she worked at several notable organizations. She was an Associate at Wizikey for six months in 2016, an Assistant Manager at EY from 2016 to 2018, and held various roles at Fractal Analytics, including Business Analyst and Senior Analyst from 2013 to 2015. Additionally, she worked as an Analyst at Cognizant Technology Solutions from 2011 to 2013.
Education and Expertise
Nikita Singh completed her Bachelor of Technology (B.Tech.) in Bioengineering and Biomedical Engineering at the National Institute of Technology Raipur from 2007 to 2011. She also attended DAV Public School, Vasant Vihar, Bilaspur, where she studied Science from 2005 to 2006. Her educational background supports her expertise in large data processing, analysis, visualization, and modeling.
Background
Nikita Singh has built a career centered around analytics and data-driven decision-making. Her experience spans various roles and responsibilities, allowing her to lead teams and collaborate with global practice offices. This background has equipped her with the skills necessary to deliver end-to-end solutions for businesses.
Achievements
Nikita Singh has demonstrated her capability in providing actionable insights to global businesses throughout her career. Her work in analytics has involved leading teams and developing strategies that enhance data utilization for informed decision-making.