Chandana N R
About Chandana N R
Chandana N R is a Data Engineer with a Master's in Computer Science from Dalhousie University and a Bachelor's in Computer Science from New Horizon College of Engineering. She has experience in building data pipelines, data visualization, and has served as a Graduate Teaching Assistant for over 400 undergraduate students.
Current Role at Nylas
Chandana N R currently serves as a Data Engineer at Nylas, a position held since 2021. Based in Toronto, Ontario, Canada, Chandana has contributed to various data engineering projects, leveraging skills in building end-to-end data and machine learning pipelines. This role involves working with complex datasets and implementing data solutions that enhance business operations.
Education and Expertise
Chandana N R holds a Master's in Computer Science with a specialization in Bioinformatics from Dalhousie University, where studies took place from 2019 to 2021. Prior to this, Chandana completed a Bachelor of Engineering in Computer Science at New Horizon College of Engineering from 2015 to 2019. This educational background provides a strong foundation in programming, data analysis, and machine learning techniques.
Teaching Experience at Dalhousie University
Chandana N R has extensive teaching experience as a Graduate Teaching Assistant at Dalhousie University. Over the course of three separate tenures, Chandana assisted more than 400 undergraduate students, focusing on project management and programming practicums. This role involved mentoring students and facilitating their understanding of complex programming concepts.
Internship at Chai Point
In 2019, Chandana N R worked as a Student Intern at Chai Point in Bengaluru, Karnataka, for a duration of three months. This internship provided practical experience in the field of data engineering, contributing to Chandana's skill set and professional development in data-related tasks.
Technical Skills and Experience
Chandana N R possesses substantial experience in building complex data and machine learning pipelines. Additionally, there is expertise in data visualization techniques and a strong background in Python programming. These skills are essential for effective data manipulation and analysis in the field of data engineering.