Divita N.
About Divita N.
Divita N. is a Sr. QA Automation Engineer and Sr. Business Systems Analyst at TELUS and an Instructional Specialist in Data Analytics and Visualization at the University of Toronto School of Continuing Studies.
Current Roles at University of Toronto and TELUS
Divita N. currently holds dual roles in Toronto, Ontario, Canada. At the University of Toronto School of Continuing Studies, Divita is an Instructional Specialist in Data Analytics and Visualization. Simultaneously, Divita works at TELUS as a Senior QA Automation Engineer and Senior Business Systems Analyst. In these roles, Divita leverages expertise in data analysis, presenting findings, and driving data-driven business decisions.
Previous Experience at TD, Scotiabank, and Bell
Prior to current positions, Divita N. worked at notable financial institutions and a telecommunication company in Toronto, Canada. At TD, Divita served as a QA Automation Analyst and Project Coordinator from 2016 to 2017. From 2015 to 2016, Divita was a QA Automation Engineer at Scotiabank. Earlier, from 2014 to 2015, Divita held the position of Tools Developer at Bell. These roles provided extensive experience in software automation testing and project coordination.
Educational Background
Divita N. has a strong educational background in engineering and data analytics. Divita earned a Master's degree in Computer Engineering from the University of Windsor, studying from 2012 to 2013. Additionally, Divita obtained a Certificate in Data Analytics from the University of Toronto School of Continuing Studies between 2020 and 2021.
Technical Expertise and Tools
With 8 years of experience, Divita N. possesses proficiency in multiple high-demand technologies and tools. Skills include data analysis, forecasting, and presentation utilizing Excel (including VBA Scripting), Python, SQL, MongoDB, Amazon RDS, HTML, CSS, JavaScript, and Tableau. Other proficiencies include tools such as Plotly, Matplotlib, HvPlot, Git, Jupyter Notebook, Python Flask, AWS, ETL, D3.js, Leaflet.js, Hadoop, and PySpark.
Instructional Contributions
As part of the instructional team at the University of Toronto School of Continuing Studies, Divita N. contributes to creating a supportive and engaging learning environment. The role involves teaching data analytics and visualization to a diverse group of learners, including those new to technology. This teaching approach combines practical skills with the latest industry tools and techniques.