Yomna A. Omar
About Yomna A. Omar
Yomna A. Omar is a Senior Data Scientist at TELUS in Toronto, Ontario, Canada, with extensive experience in data science and machine learning across various organizations and educational backgrounds.
Title
Yomna A. Omar holds the position of Senior Data Scientist at TELUS. Based in Toronto, Ontario, Canada, her role involves a hybrid working model.
Current Company
Yomna A. Omar is currently employed at TELUS as a Senior Data Scientist. She is responsible for developing machine learning models including churn, renewal, migration, right-party connect, and up-sell models to enhance customer retention and communication. She manages a portfolio of over nine machine learning models and utilizes the Google Cloud Platform (GCP) for various stages of the machine learning lifecycle. Additionally, she creates visualization and monitoring dashboards using Looker.
Previous Roles in Data Science
Prior to joining TELUS, Yomna A. Omar worked in various data science roles including Data Scientist at Borrowell for one year and Data Scientist at CaseWare International Inc. for three years, both based in Toronto, Ontario, Canada. She also functioned as a Graduate Teaching Assistant at the University of Toronto's Department of Computer Science and had a stint as a Data Science & Machine Learning Mentor at Great Learning in Bengaluru, Karnataka, India.
Educational Background
Yomna A. Omar holds a Master of Science in Applied Computing (MScAC) from the Department of Computer Science at the University of Toronto, which she completed between 2017 and 2019. She also earned a Bachelor of Science in Computer Science from the American University of Sharjah, United Arab Emirates, graduating in 2017. Additionally, she attended The International School of Choueifat (SABIS) from 2000 to 2013, where she received her high school diploma.
Technical Expertise
In her roles, Yomna A. Omar has demonstrated proficiency in various technologies including SAS, Oracle, Datalake, UNIX, and several Google Cloud Platform services like BigQuery, Google Cloud Storage, Looker, and VertexAI. She handles and analyzes large datasets, develops machine learning models, and creates dashboards for business stakeholders to enhance marketing campaign response rates.