Komal Bhandari
About Komal Bhandari
Komal Bhandari is a Data Analyst currently working at EcoOnline Global in Toronto, Ontario, Canada. With a background in Computer Engineering and expertise in data visualization and SQL, she has experience in various technical roles across different companies.
Work at EcoOnline
Komal Bhandari currently works at EcoOnline Global as a Data Analyst. She began this role in 2023 and has been contributing to data analysis efforts for one year in Toronto, Ontario, Canada. Prior to her current position, she served as a Technical Analyst at EcoOnline Global for five months in 2023. In her roles, she focuses on data-informed decision-making and optimizing business operations.
Previous Experience in Data Analysis
Before joining EcoOnline, Komal Bhandari worked at Alcumus as a Technical Analyst from 2021 to 2023 for two years in Toronto, Ontario, Canada. She also held the position of Jr. Web Designer at VNurture Technologies for six months in 2017 in Ahmedabad, Gujarat, India. Additionally, she worked as a Web Developer at the County of Simcoe for three months in 2018 in Midhurst, Ontario, Canada.
Education and Expertise
Komal Bhandari holds a Bachelor's degree in Computer Engineering from Silver Oak College of Engineering & Technology, where she studied from 2013 to 2017. She furthered her education at Georgian College, earning a diploma in Interactive Media Design from 2017 to 2019. Komal has completed the Google Data Analysis Certificate, enhancing her skills in data analysis. She possesses expertise in Looker for data visualization and business intelligence, as well as a strong foundation in SQL for data extraction and organization.
Commitment to Professional Development
Komal Bhandari is dedicated to staying current with the latest advancements in the data analysis industry. She actively seeks opportunities to enhance her skills and knowledge, ensuring that she remains proficient in the evolving field of data analysis. Her commitment to professional development supports her ability to tackle complex data challenges effectively.