Vaibhav Sehgal
About Vaibhav Sehgal
Vaibhav Sehgal is a Data Engineer Intern specializing in AI, currently working at Intact in Montreal, Canada. He has a background in data engineering and analysis, with experience at various organizations in India, and has contributed to significant improvements in data processing and security.
Work at Intact Financial Corporation
Currently, Vaibhav Sehgal serves as a Data Engineer Intern - AI at Intact Financial Corporation in Montreal, Quebec, Canada. He has been in this role since 2023, contributing to various projects that enhance data processing and management. His responsibilities include streamlining data migration processes, which has led to significant improvements in efficiency.
Previous Experience in Data Engineering and Analysis
Vaibhav has a diverse background in data engineering and analysis. He worked as a Data Engineer at Evalueserve from 2021 to 2022, where he focused on data management tasks. Prior to that, he served as a Data Analyst Intern at Spreadit in 2021 and as a Machine Learning Intern at Career Launcher in 2020. His early experience includes a role as a Teaching Assistant at Coding Ninjas in 2020.
Educational Background in Computer Science
Vaibhav completed his Master of Science in Computer Science at Concordia University, where he has been studying from 2022 to 2024. He also holds a Bachelor of Technology in Computer Science from Guru Gobind Singh Indraprastha University, which he completed from 2017 to 2021. His foundational education was at Bhartiya Vidya Bhavan, where he studied from 2005 to 2017.
Technical Skills and Contributions
In his roles, Vaibhav has implemented various technical solutions that improved data handling and security. He developed an automated ETL pipeline that managed over 240 million historical records and implemented stored procedures and dynamic views, enhancing user satisfaction by 25%. Additionally, he orchestrated monthly deployments through Control-M, achieving a 40% reduction in deployment time.
Projects and Innovations
Vaibhav has contributed to significant projects during his internships. At Intact, he streamlined the migration process of approximately 25 million incremental records weekly, resulting in a 30% reduction in processing time. He also implemented tag-based dynamic masking policies in Snowflake to enhance data security, showcasing his focus on both efficiency and security in data management.