Nikhita Jotsinghani
About Nikhita Jotsinghani
Nikhita Jotsinghani is a Data Engineer currently employed at RideCo On-Demand Transit in Waterloo, Ontario, Canada. She has previously held positions as a Supply Chain Data Analyst, Data Compensation Analyst, and Business Intelligence Data Analyst, and she holds a Bachelor of Mathematics from the University of Waterloo.
Work at RideCo
Nikhita Jotsinghani has been employed at RideCo On-Demand Transit as a Data Engineer since 2022. In this role, she contributes to the development and management of data systems that support on-demand transit solutions. Her work involves analyzing data to improve operational efficiency and enhance service delivery in the transportation sector. RideCo is known for its innovative approach to public transit, and Jotsinghani's expertise plays a key role in its data-driven initiatives.
Previous Experience in Data Analysis
Before joining RideCo, Nikhita Jotsinghani held several positions in data analysis. She worked as a Supply Chain Data Analyst at ATS Automation for three months in 2021, focusing on data management within the supply chain context. Additionally, she served as a Data Compensation Analyst at Willis Towers Watson in 2019 for three months, where she handled data related to compensation analysis. Jotsinghani also gained experience as a Business Intelligence Data Analyst at ApplyBoard in 2021, further developing her analytical skills.
Education and Expertise
Nikhita Jotsinghani earned her Bachelor of Mathematics from the University of Waterloo, where she studied from 2017 to 2022. Her academic focus included an Honours Mathematics and Business Administration Major, along with a Computing Minor. The co-operative program allowed her to gain practical experience in her field, enhancing her knowledge in mathematics and data analysis, which she applies in her professional roles.
Background in Data Engineering
Nikhita Jotsinghani has developed a strong foundation in data engineering through her educational background and professional experiences. Her roles have involved various aspects of data analysis, including supply chain management, compensation analysis, and business intelligence. This diverse experience has equipped her with the skills necessary to excel as a Data Engineer, where she focuses on leveraging data to drive decision-making and improve processes.