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ABOUT ME

Experience

 

Bell Canada

Senior Developer, Data Science (Feb 2023 to Present)

Network Architect, Data Science (Jan 2022 to Feb 2023)

Developer, Data Science (Jan 2020 to Jan 2022)

  • Oversaw and directed the team’s analytics strategies (descriptive, diagnostic, predictive and prescriptive)

  • Built an automated process taking in various technical metrics and categorizing the likely cause of customers' network disturbances  (using python and displayed in microstrategy dashboard)

  • Optimized and automated root cause analysis process reducing time to root cause lead discovery from ~4 months to ~2 weeks.

  • Lead the development of an algorithm based application for root cause analysis investigations (django, python, bamboo, openshift)

  • Built a metrics importance dashboard to assist best wireline team in investigating contributors for poor gaming index (K-L divergence based methods were used)

  • Introduced a framework for optimal evaluation of new technology products and services (in use since its implementation in ~March 2020)

  • Built a sentiment analysis dashboard to evaluate success of several campaigns across the organization (TSN-5G, Bell Let’s Talk)

  • Regularly communicated findings and results to several teams across the organization,  including the executive team.

  • Organized internal lunch & learn seminar discussing AI/ML topics in collaboration with external key note speakers.

 

 

Toronto Metropolitan University

Teaching Assistant and co-Instructor (May 2017 to September 2022)

  • Data Analytics, Big Data and Predictive Analytics Program

  • Practical Data Science and Machine Learning Program

  • Foundation in Data Science Bootcamp

Researcher • Data Science Lab (March 2017 to September 2019)

  • Project Partners: Toronto Police Services, St Michael Hospital, Communication Research Center Canada

 

 

Statistics Canada Public Health (March 2019 to September 2019)

Research Fellowship

  • Delivered a tool prototype that automatically predicts the cause of death as autopsy/coroner reports are made available, saving up to 2 years in reporting time.

Awards and Publications
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Awards​

  • Bell Excellence and Innovation Award, 2023

  • Bell Excellence and Innovation Award, 2022

  • Bell Gold Merit Award, 2021

  • Teaching and Graduate Assistant Award Nominee, 2019

  • TMU Graduate Development Award, 2018

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Publications

  • Prediction of Fatal and Major Injury in Drivers, Pedestrians and Cyclists in Collisions (2020) link

  • A Vision for Data Monetization in Canada, TMU, (2018/06) Project Partners – Government of Canada, Telus, Canadian Electricity Association, UofOttawa, CI Investments, ThinkData, BioSymmetrics

  • Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry  (Canadian Artificial Intelligence Conference 2023 Proceedings) link 

Public Speaking

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  1. How AI Happens Podcast Guest Speaker (Available Online, 2023, link)

  2. Women at Bell Mentorship Circle Lead for Take our Kids to Work Event (Mississauga, 2023)

  3. Big Data and AI Conference Panelist and Moderator (Toronto, 2023)

  4. Big Data and Analytics Summit Panelist (Montreal, 2023)

  5. Canadian Artificial Intelligence Conference (Montreal, 2023)

  6. Big Data and AI Conference (Toronto, 2023)

  7. Geekfest Live Hosting (Toronto, 2023)

  8. UofT MIST Career Panel (Toronto 2023)

  9. Geekfest Lightning Talk Presentation (Toronto, 2022)

  10. McMaster Economics Society Career Panel (Virtual 2022)

  11. UofT MIST Breaking into AI Industry Panel (Virtual 2022)

  12. Transformers Conference Live Presentation (Virtual 2022)

  13. Bell College Fest Workshop Instructor (Virtual 2021)

  14. Bell AI/ML Career Fair Speaker (Virtual 2021)

  15. Big Data and AI Conference Host (Toronto, 2019)

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Hackathon Judge 

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  1. The DaVinci Competition (University of Toronto, 2023, link)

  2. Western AI Flagship (Virtual 2023)

  3. UofT MIST Machine Intelligence Hackathon Judge  (Virtual 2022)

  4. WISE Thesis Competition (Virtual 2022)

  5. ElleHacks( Virtual 2021)

  6. SheHacks (Virtual 2021)

  7. ElleHacks (York University Toronto 2020)

  8. SheHacks (Queen University London 2020)

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Leadership and Initiatives

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  1. Member of the General Council for Intern and New Grad Hiring Program, Bell 2023-2024

  2. Member of the Improving Life at Work Committee, Bell 2023

  3. Executive Advisory Board member of the BAM collective, 2021

  4. Project Manager, The Bigger Data, 2021

  5. Member of the Ryerson Data Science Program Committee, 2018-20

  6. Starter Kit Project Founder and Executor, 2016-2017 (link)

  7. Syrian Relief Bracelets Project Founder and Executor, 2015

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Languages

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  • English

  • French

  • Arabic

  • Spanish

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Technical Experience 

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  • Python, R, C

  • SQL, Hive

  • Hadoop, GCP

  • Microstrategy and Tableau

  • FAST LEARNER IN THIS EVER GROWING WORLD OF TECHNOLOGY

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Education and Credentials

  • MSc., Data Science and Analytics, 2020, TMU University

  • BA. Economics (Statistics Concentration), 2015, McGill University

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