Sajid Hussain PhD
About Sajid Hussain PhD
Sajid Hussain, PhD, is a Data Scientist at TELUS in Toronto, Canada, with extensive experience in machine learning, deep learning, and predictive analytics.
Current Role at TELUS
Sajid Hussain is currently working as a Data Scientist at TELUS in the Toronto, Canada area. He focuses on predicting avoidable dispatches and conducting customer churn analysis using Natural Language Processing (NLP). His work is projected to save hundreds of yearly dispatches for the company. He played a pivotal role in deploying anomaly detection solutions using NiFi, Kafka, and Python, leading to $1 million CAD in savings in the first year.
Previous Experience at Scotiabank
In 2019, Sajid worked as a Data Scientist Consultant at Scotiabank in Toronto, Ontario, Canada. His consultancy lasted for four months, where he contributed his expertise in data science.
Past Work at Graphika Print Solutions
Between 2018 and 2019, Sajid served as a Data Scientist and Algorithm Developer at Graphika Print Solutions in the Toronto, Canada area. During his nine-month tenure, he was deeply involved in developing algorithms and applying data science methodologies.
Experience at ADNOC Group
Sajid worked at ADNOC Group from 2014 to 2018 as a Research Associate and Lead Data Scientist focusing on Deep Learning in Energy. Over four years, he contributed significantly to advancements in energy-related research and the application of deep learning techniques.
Education in Data Science and Engineering
Sajid holds a Doctor of Philosophy (PhD) in Electrical and Computer Engineering from the University of Ontario Institute of Technology, completed in 2013. He also received a Graduate Certificate in Data Science from Harvard Extension School in 2018. Additionally, Sajid earned a Master's degree in Telecommunications from the Technical University of Denmark in 2006 and a Bachelor's degree in Electronics from the National University of Sciences and Technology (NUST) in 1998.