Siddhant Naik
About Siddhant Naik
Siddhant Naik is a Senior Design Specialist at TELUS in Toronto with a strong background in data analysis and information technology.
Current Role at TELUS
Siddhant Naik is currently a Senior Design Specialist at TELUS, a leading communications and information technology company based in Toronto, Ontario, Canada. Since December 2021, he has been focused on design specialization, leveraging his robust understanding of data analysis and visualization tools to contribute to the company's projects and initiatives.
Professional Experience at Teach For America
From 2018 to 2021, Siddhant Naik worked as a Manager, Data Analyst at Teach For America in Manhattan, New York. During his tenure, he played a key role in significant data analysis projects that contributed to data-driven decision-making processes. His responsibilities included utilizing Google Big Query (SQL) for data analysis and creating data visualizations and dashboards using Power BI.
Previous Work at Hindustan Laboratories
Siddhant Naik worked as a Data Analyst at Hindustan Laboratories from 2015 to 2016 in the Mumbai area, India. In this role, he developed his foundational skills in data analysis and acquired experience in handling large datasets, which further fueled his interest in the field.
Educational Background and Credentials
Siddhant Naik holds a Master’s degree in Information Technology & Analytics from Rutgers Business School, where he studied from 2016 to 2017. Prior to that, he achieved a Bachelor of Engineering (B.E.) in Information Technology from the University of Mumbai. His educational journey began at Holy Cross English High School where he completed his primary school education.
Technical Skills and Specializations
Siddhant Naik specializes in utilizing Google Big Query (SQL) for complex data analysis projects. He has extensive experience with Google Tag Manager for tracking and analytics and is proficient in creating data visualizations and dashboards using Power BI. Additionally, he has a strong background in Python programming for data analysis and automation, as well as advanced skills in Google Analytics for web and digital marketing analytics.