Nandini .
About Nandini .
Nandini is a data analyst with experience in various roles, including team lead at Ecotex Healthcare Linen Service and problem solver at Amazon. She has developed strong skills in data visualization and statistical analysis through her education and practical projects.
Work at Correlation One
Nandini currently serves as a Data Analyst at Correlation One, a position she has held since 2023. In this role, she applies her expertise in data analysis to support various projects and initiatives within the organization. Nandini utilizes her skills in data visualization and statistical analysis to provide insights and drive decision-making processes.
Previous Experience at Amazon
Before her current role at Correlation One, Nandini worked at Amazon in Brampton, Ontario, where she held two positions. She started as a Fulfillment Associate from 2021 to 2023, contributing to the efficiency of the fulfillment process. In 2021, she transitioned to the role of Problem Solver, where she focused on resolving operational challenges and improving workflow.
Team Lead Role at Ecotex Healthcare Linen Service
Nandini worked as a Team Lead at Ecotex Healthcare Linen Service for 10 months in Mississauga, Ontario, from 2020 to 2021. In this position, she was responsible for overseeing team operations and ensuring the quality of service provided. Her leadership contributed to the effective management of healthcare linen services.
Education and Training in Data Analytics
Nandini has pursued extensive education in data analytics. She studied at Data Science for All by Correlation One in 2023 for four months, focusing on practical data analysis skills. Additionally, she attended Sheridan College from 2019 to 2020, where she achieved a Computer System Technician - Software Engineering certification, further enhancing her technical knowledge.
Skills in Data Visualization and Analysis
Nandini has developed strong skills in creating informative data visualizations using tools such as Tableau and Looker Studio. She has worked on hands-on projects that simulate real-world data analysis scenarios, applying her knowledge to practical problems. Her proficiency in statistical analysis and hypothesis testing allows her to draw meaningful conclusions from data.