Professor | Speaker & Practice Leader | Data Analytics Consultant | Passionate about transforming organizations through data-driven solutions

I am a Professor at McGill University and a Technical Consultant focused on: Moving AI from Discussion Rooms to Full-Fledged Production, and i’m very passionate about helping all stakeholders get there.

Overall, through my work, i see a massive gap between "AI Hype" and the practicality of "Applied data, analytics and AI" in the Canadian market. I’ve identified 3 major opportunities in the market today, where my work focuses on bridging these divides.
    1. Canadian Industry Productivity Declines
    2. Hollowing out of Entry Level jobs for new Graduates
    3. Relevance of Universities in the Age of AI

>> Please see my Whitepaper on this for more here: Coming soon

THE TRACK RECORD:   I don’t just teach theory; I run a 'living lab' of practical application.
>> 2 Enterprise Production Level Solutions (DataSphere Lab): Our team has built fully operational ‘in-production’ data and AI solutions 
>>12 Enterprise PoCs (DataSphere Lab): Hands-on development for Canadian manufacturers and service firms, focusing on a wide variety of use cases including demand forecasting, process automation, and cost optimization and others
>>80+ Student-Led Builds (Masters of Analytics): I lead teams of complementary talent (SMEs, Technologists, Quants) to deliver technical solution specifications that solve real business problems

MY PHILOSOPHY:   After overseeing nearly 100 builds, I’ve found that AI projects rarely fail because of the math or the tech. They are merely stuck because of poor scoping and success metrics definition, lack of creativity around thinking about Data Strategy, and iterative growth planning.

I help organizations:
1. De-risk the Technology: We build the Proof-of-Concept (PoC) first to prove value before you invest in Hiring or Contracting with vendors.
2. Train the Talent: I connect industry partners with top-tier student teams who act as a "special ops" unit for your data challenges, and who can become your talent-pipeline.
3. Build in Iterations: We focus on delivering real ROI.  No matter how small it is, if you make improvements, we help you build and scale.

HOW WE CAN WORK TOGETHER: If you are a Canadian leader looking to advance beyond buzzwords and looking for a technical blueprint to make your organization more efficient:

Consulting: Strategic advising on AI roadmaps and PoC architecture.
Partnerships: Accessing university talent for specific project builds.

We have the best pound-for-pound talent in Canada, who are learning the Latest Tools and Best Practices. Let’s leverage our assets and become a model for the world!

Shoeb Hosain

Morgan Stanley

Quantitative Finance Summer Associate

Intact

Working on the Chatbot team in the Intact Data Lab 🤖

Data Scientist I

Université de Montréal

• Designed a Mixed-Integer Programming model to solve a matching problem, optimizing the assignment of students to hosts
• Developed solution to automate matching process with Python & Gurobi, improving efficiency and reducing matching time by 98%
• Utilized machine learning techniques like clustering to account for student preferences resulting in higher quality matches

Operations Research Algorithms Developer

Groupe Dynamite

• Developed POC of AI summarization app with Docker, AWS, LangChain, and Python, saving 30 minutes per document
• Enhanced summary quality by 50% using prompt engineering techniques like LLM-as-a-Judge and few-shot learning
• Engineered dataset with PySpark, classified 2M customers with Random Forest for top revenue identification

Data Scientist

PennyDrops

• Manage and motivate a team of 7 members to complete insights and data projects to improve PennyDrops' operations and employ data governance practices
• Completed several automation projects, such as developing a python script to automate the creation of progress reports, reducing time spent from over 2 hours to 1 second
• Developed functional dashboards for marketing and programming teams using R and Power BI, improving data-driven decisions
• Met weekly with C-Suite to discuss strategic and administrative topics, resulting in new sponsorships and several marketing events

Chief Data Officer

Director of Insights, National Team

Deloitte

• Developed and deployed a document classification model using XGBoost and SVM in python, achieving a 92% f1-score by fine-tuning the model to mitigate class-imbalance issues
• Led client meetings to explain model and integrate into client server using GitLab, reducing manual tasks and costs
• Co-created CDC Al Taskforce, supporting consultants in machine learning and data science projects, holding weekly learning sessions on AI trends using libraries such as Tensorflow

Solution Associate 

McGill University - Desautels Faculty of Management

Research Fellow

Enterprise

• Developed and presented a decision-making tool in Excel to help branch make data-driven decisions and optimize cars rented
• Increased service quality index by 5% by proactively acting as a point of contact for customer resolutions 
• Sold protection packages using upselling techniques, leading to an average of 7$ of additional revenue per contract

Management Intern

Statistics Canada

• Cooperated in a team of 15 to answer over 6000 census questionnaires with a completion rate of 98%
• Investigated specific cases by categorizing different customer types to determine why the census was not complete 
• Resolved conflicts and used effective communication skills to increase number of completed questionnaires

Census Enumerator

Dollarama L.P.

Store Clerk

I am currently pursuing a masters degree in Computer Science, specializing in Artificial Intelligence at Université de Montréal. I am primarily interested in research combining Reinforcement Learning, Machine Learning, and Operations Research in the context of decision making under uncertainty.

Previously, I completed my undergraduate degree in Mathematics at McGill University. I am always seeking opportunities to develop my skills through competitions like datathons and hackathons, as well as my coursework.

Please feel free to connect with me!

taplio

The Battle

Shoeb Hosain

Amine Kobeissi

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