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

AbbVie

Data Scientist

- Help drive brand commercial success for the Immunology portfolio through communicating insights derived from market data and interpret market trends in a way that helps AbbVie Canada make more strategic business decisions. 
- Work in partnership with the Finance team to deliver monthly, annual and long-range financial forecasts and with Business Unit and Brand Managers, to address the needs and identify opportunities for improved brand performance.
- Assume ownership of the monthly forecasting process and analytical projects.
- Deliver analytics that identify opportunities to improve/accelerate brand performance.
- Analyze complex business problems and issues using data from internal and external sources and provide perspective and insights on issues/opportunities.
- Build and maintain strong relationships with local and global AbbVie colleagues to drive best practices in Canada.
- Active contributor to commercial teams and balance analytical perspective with business drive.
- Manage models and lead the forecasting process on a monthly and annual basis, demonstrating effective project management skills.
- Maintain, adjust and upload, external and internal data elements using Microsoft Excel.
- Implement proper management techniques to ensure the accuracy of the data collection.
- Improve the efficiency of the procedures for data management and analysis.

Forecast Analyst

McKesson Canada

8 month academic project as part of the McGill Master of Management in Analytics consulting practicum

Data Scientist Team Lead (Academic Consulting Project)

Centre universitaire de santé McGill et IR-CUSM | McGill University Health Centre and RI-MUHC

Managed the procurement database's product, vendor, and contract information
Implemented electronic data interchange with healthcare suppliers to automate purchasing and  accounting processes to improve database information quality by eliminating manual tasks
Collaborated on a project to improve visibility of on-site inventory system of personal protective equipment (PPE) for COVID-19 that increased management’s overall decision-making power
Generated product consumption reports and carried out exploratory analyses for management to gain insights and budget, plan, and negotiate accordingly
Documented procurement master data processes with how-to manuals and process mapping

Master Data Technician

Exposure to database management
Developed a procurement master data operating procedure to improve the quality of the information that is received for database entry
Prepared database with products and vendors for Optilab go-live

Master Data Intern (Co-op)

December 27, 2017- January 19, 2018 (4 weeks part-time): Data entry for the Pathology Labs 
June 2016-August 2016 (3 months full-time): Updated the Montreal General Hospital's orthopedic waitlist

Administrative Agent (Recall List)

BOMBARDIER

Exposed to contract management and negotiation process
Participated in strategy brainstorming sessions
Carried out market analysis of air management system (AMS) fans to identify potential cost-savings benefits
Managed Excel file to track payment progress of overdue invoices for weekly AMS supplier meetings to
improve supplier relationship and overall business operations

taplio

The Battle

Shoeb Hosain

Cristina Esposito, MMA

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