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

Siddharth is currently working as a Senior Data Analyst at CIBC’s Data & Analytics, Procurement department. He combines years of experience in the field of Information Technology, Advanced Analytics, and Machine Learning. Siddharth has demonstrated an aptitude for working with cross-functional teams by leveraging technical skills in ETL, Machine Learning, Python, R, SQL, Dashboarding, Data-Warehousing, Alteryx, and Microsoft 365 Applications.

Siddharth graduated with a bachelor's in Electronics and telecommunications. He then completed an MBA (Technology Management) in Business Analytics & Marketing. Siddharth also pursued his Master's degree in Analytics from McGill University, Canada. 

Siddharth’s core skills include:
•	Programming Languages- Python, R
•	Database- MySQL, Neo4J
•	Visualization Tools- Power BI, Tableau, Google Data Studio
•	Business Intelligence/ETL Tools- Alteryx, SAP BODS, Talend
•	Cloud- GCP, AWS
•	ML Techniques- Regression, Classification, Random Forest, Neural Networks, etc.

Siddharth is always keen to discuss analytics in the field of retail, banking, healthcare, insurance, and aviation. Let’s Connect!

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Shoeb Hosain

Siddharth Singhal

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