Shabad Sehgal
About Shabad Sehgal
Shabad Sehgal is a Tech Lead Data Science at TELUS and a lead ML Data Engineer at Paytm Labs, with extensive experience in software development and data science across multiple countries.
Title and Current Roles
Shabad Sehgal holds the title of Tech Lead Data Science at TELUS, based in Toronto, Ontario, Canada, operating in a hybrid mode. In addition to his role at TELUS, he is currently working at Paytm Labs as a lead ML Data Engineer, also in Toronto, Ontario, Canada. Additionally, Shabad serves as a Senior Data Scientist at Comcast in the United States.
Past Work Experience
Shabad Sehgal has accumulated a diverse array of experience in both software development and data science. He worked at LoJack SCI in the United States as a Big Data Software Intern for 7 months in 2015. From 2012 to 2014, he was a Software Developer at SITA in Dubai, United Arab Emirates. In 2017, he held positions at Verizon Labs as a Big Data Engineer in Greater San Diego Area for 5 months and at Copart as a Software Engineer (Big Data) for 1 year in the United States. Earlier in his career, from 2009 to 2012, he worked at Citi in Bengaluru Area, India, as a Software Engineer.
Educational Background
Shabad Sehgal completed his Master’s Degree in Computer Science, Data Science, and Machine Learning at The University of Texas at Dallas from 2014 to 2015. Prior to that, he earned his Bachelor’s Degree in Electronics and Communications and Computer Science from Guru Gobind Singh Indraprastha University, where he studied from 2005 to 2009.
International Experience
With extensive professional experience across different geographical locations, Shabad Sehgal has worked in the United States, Canada, and Dubai, United Arab Emirates. This international exposure has provided him with a broad understanding of various working environments and cultures.
Diverse Expertise in Software Development and Data Science
Shabad Sehgal has a multifaceted background, showcasing a skill set that spans both software development and data science. His roles have included: Software Developer, Big Data Engineer, Software Engineer, and Tech Lead Data Science. This diverse expertise has equipped him with a wide range of technical competencies and industry insights.