Curriculum Vitae

Professional Experiences

Feb. 2026 - Present

ML Engineer (Internal Lead), Medcan, Toronto, ON, Canada

Designing and deploying advanced analytics and machine learning solutions to drive operational efficiency and data-driven decision-making across healthcare services.

Key Projects:

Self-Serve Analytics Platform: Architected and deployed an enterprise self-service platform driven by Agentic AI. This system enables business stakeholders to securely query and explore organizational data using intuitive natural language, significantly expanding data democracy while maintaining rigorous governance and security standards.
Capacity Forecasting: Developed and productized hybrid forecasting models to optimize resource allocation and clinical capacity. The end-to-end solution runs on scalable, automated Azure pipelines featuring reproducible workflows and systematic artifact management.

Leadership & Mentoring Responsibilities:

Technical Leadership: Lead the architecture, design, and deployment of enterprise AI solutions while establishing engineering best practices, reproducible MLOps workflows, and scalable deployment standards.
Cross-Functional Collaboration: Partner closely with clinical, operational, and business stakeholders to translate complex business challenges into practical AI and machine learning solutions that deliver measurable value.
Project Leadership: Drive the technical execution of strategic AI initiatives, including our analytics platform and intelligent healthcare applications, ensuring successful integration within Medcan's broader data ecosystem.
Mentorship: Mentor junor engineers and data professionals on machine learning development, LLM application design, production deployment, and AI best practices, fostering a collaborative and high-performing engineering culture.

Jan. 2023 - Feb. 2026

Data Scientist—Advanced Customer Analytics, Loblaw Companies Ltd., Brampton, ON

Key Projects:

Targeted Campaign Framework: Designed and deployed machine learning models for loyalty and life-cycle-based customer targeting, driving personalized engagement strategies across 10M+ active users.
Advanced MCM Behavioral Segmentation and Targeting: Campaign Built advanced behavioral segmentation frameworks to track lifecycle deviations, optimize promotional offers, and execute high-precision multi-channel targeting strategies.
Automated MLOps Production Pipelines: Architected and implemented end-to-end automated pipelines within Vertex AI and BigQuery ML to transition complex models smoothly into high-scale production environments.
Uplift Modeling & Causal Inference: Frameworks Developed uplift modeling and statistical inference frameworks utilizing rigorous A/B testing to accurately isolate campaign responsiveness and measure true incremental business lift.
Production MLOps: Integrated production models directly with automated Looker dashboards to establish continuous, real-time performance monitoring, drift detection, and data product health tracking.

Leadership & Impact:

Cross-Functional Strategy Partnership: Partnered directly with business leaders and product teams to translate complex statistical model insights into measurable marketing and pricing strategies.
Award-Winning Performance: Recipient of the prestigious Loblaw Analytics Award 2024 for delivering standout, measurable business impact through data-driven products.
Division-Wide Recognition: Nominated as the Best Analyst 2024 within the Loblaw Supermarket Division for technical excellence and cross-functional leadership.

Sept. 2019 - July 2022

Data Scientist (Mitacs Accelarate Fellow), FreshBooks Inc., Toronto, ON, Canada

Key Projects:

Invoice Fraud Detection Framework: Designed and implemented robust machine learning frameworks specifically engineered to detect invoice-related fraud and protect the platform ecosystem.
Invoice Categorization Pipeline: Developed and deployed advanced text classification models to automate invoice categorization, optimizing and leveraging internal organizational processes.
In-Depth Data Analysis & Customer Insights: Conducted deep-dive data analysis to extract valuable customer insights, building predictive models that directly guided strategic business decision-making.
Data Efficiency Modeling: Built tailored data frameworks and models focused on enhancing data efficiency across financial workflows and platform processing.

Leadership & Business Impact:

Consecutive Fellowship Awards: Awarded three consecutive, highly competitive Mitacs Accelerate Fellowships totaling three years of dedicated research and development collaboration with FreshBooks.
PhD Research Integration: Served as a Data Scientist and PhD Intern, bridging academic innovation with enterprise product engineering to solve complex, high-scale data challenges.
Operational Process Optimization: Successfully accelerated internal risk operations by delivering production-ready models that significantly reduced manual review workloads and increased analyst throughput.

Analytics Award, Super.Market Division, 2023 @ Lobalw

Education

Sept. 2017 - April 2023

McMaster University, ON, Canada

Ph.D. in Computational Science and Engineering

Thesis: Big Data Clustering: Models and Applications. [Dissertation]

As part of the Marketing and Supply Chain Analytics (MiSCAN) Lab and Professor Elkafi Hassini’s research team, my primary research focus was designing heuristic clustering algorithms to identify communities in large-scale empirical networks. During my Ph.D., I had the privilege of receiving three Mitacs Accelerate Fellowships and working with FreshBooks Inc. to solve complex business problems.

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Sept. 2014 - April 2027

The University of British Columbia, BC, Canada

M.Sc. in Computer Science

Thesis: Random models and heuristic algorithms for correlation clustering problems on signed social networks. [Dissertation]

At UBC, under Professor Yong Gao’s supervision, my research focused on designing random models and analyzing signed-directed social networks.

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May 2004 - June 2010

University of Chittagong, Chittagong, Bangladesh

B.Sc. (Honours) and M.Sc. in Mathematics

Thesis: A Solution Procedure for Minimum Convex-Cost Network Flow Problems [Dissertation]

In addition to exploring the beautiful and hilly campus of the University of Chittagong, I graduated with a B.Sc. (with Honours) and M.S. (Thesis) in Pure Mathematics, specializing in operations research, fundamental analysis and numerical analysis. These areas of study have helped me refine my analytical and logical skills, which I utilize to solve complex problems in diverse professional environments.

Teaching and Research Experiences

Winter 2022 & 2023

Sessional Instructor

DeGroote School of Business, McMaster University, Hamilton, ON, Canada

I worked as an instructor for the following courses:

Q775: Optimization and Machine Learning with Big Data [course outline]
4QC3: Decision Modelling

Sept. 2017 - Dec. 2022

Graduate Research & Teaching Assistant

DeGroote School of Business, McMaster University, Hamilton, ON, Canada

Sept. 2017 - Dec. 2022

Graduate Research & Teaching Assistant

The University of British Columbia, Kelowna, BC, Canada

Sept. 2011 - Aug. 2024

Lecture (Mathematics), Stamford University Bangladesh, Dhaka, Bangladesh

Publications

Blasioli, E., Wahid, D.F., Hassini, E., Detecting vaccine hesitancy patterns via few–shot learning and graph–based clustering. Data & Knowledge Engineering, Volume 165, September 2026, 102624. [Available Online]
Wahid, D. F., & Hassini, E. (2024). An augmented AI-based hybrid fraud detection framework for invoicing platforms. Applied Intelligence. 54(2): p 1297-1310. [Available Online]
Wahid, D. F., & Hassini, E. (2023). User-generated short-text classification using cograph editing-based network clustering with an application in invoice categorization. Data & Knowledge Engineering; 148. [Available Online]
Wahid, D. F., & Hassini, E. (2022). A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis. Operations Research Forum; 3(3), p. 47). [Available Online]
Wahid, D. F., Ezzeldin, M., Hassini, E., & El-Dakhakhni, W. W. (2022). Common-knowledge networks for university strategic research planning. Decision Analytics Journal; 2, p. 100027. [Available Online]
Wahid, D. F., Ray, G. C., & Habiba, F. (2012). A solution procedure for minimum convex-cost network flow problems. GJFSR: Mathematics and Decision Sciences; 12(10): p 22-30. [Available Online]

Conference Presentations

A Hybrid Framework for Invoice Categorization Based on the Line-item by Using a Keyword Network Approach. 63rd Annual CORS Conference, Vancouver, BC, Canada. June 5-8, 2022. [abstract / talk]
A prioritized fraud detection model for subscription-based businesses platform with minimal labelled data 62nd Annual CORS Conference, Toronto}, ON, Canada. June 5-8, 2021. [abstract / talk]
Identifying Research Communities and Analyzing Collaborations and Publication Counts in the Common-Knowledge Networks. 60th Annual CORS Conference, Halifax, NS, Canada. June 4-6, 2018.

Invited Talks

Solving Real-World Solution with Industry Collaboration and Funding: Advantages, Challenges and Procedures. Smart Freight Center (SFC) Seminar, McMaster University. December 14, 2023.
Invoice Line-Items Categorization with Keywords Network Clustering. Operations Management (OM) Seminar, DSB, McMaster University. December 2021.
Bibliometrics Analysis in Research. Smart Freight Center (SFC) Seminar, McMaster University, November 2021.
Fraud Detection in a Subscription-Based Invoice Platform with Noisy Data. CSE Seminar, McMaster University. November 2020.

Awards, Fellowships and Scholarships

Nominated for the "Best Analyst of 2024" in the Lobaw Super-Market Division.
Analytics Award for excellent contribution in the Lobaw Market Analytics division, 2023.
Mitacs Accelerate Fellowship (16 months), 2022. [URL]
Mitacs Accelerate Fellowship (12 months), 2021. [URL]
Mitacs Accelerate Fellowship (12 months), 2019. [URL]
International Excellence Award, Fall 2017, School of Graduate Studies, McMaster University, ON, Canada
Graduate Dean’s Entrance Scholarship, Fall 2014, University of British Columbia, Okanagan.
NSICT Graduate Research Fellowship, 2010-2011, Ministry of Science and ICT, Bangladesh.
Merit Fellowship, 2009-2010, University Grant Commission (UGC), Bangladesh Scholarship, 2009.

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