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

Analytics Engineer

Thinkr Consulting

• Managed a pro-bono consulting club of 30+ MBA and Master's students at McGill University, collaborating with startups and NGOs to deliver actionable growth ideas through structured analysis.
• Led a new initiative with the Dobson Centre for Entrepreneurship to assist 15+ startups in creating compelling pitches for venture capitalists (VCs).
• Developed skills in strategy consulting, project management, and stakeholder collaboration.

Director

Team Lead of Risk Advisory vertical, Evaluating pricing models for SaaS and Hardware-based companies and benchmarking competitor's pricing strategy to recommend pricing models aligned with GTM strategy for an AI-based healthcare startup.

Built strategies to improve the pricing strategy of a firm in Quebec by conducting research, surveys, and interviews to gain an understanding of the healthcare surveillance industry and the technology adoption risks concerning on-premise data computing.

Lead Consultant / Risk Analyst

McGill University

Research Assistant

Reserva Conchal

• Designed and built scalable data architecture and ETL pipelines on Google Cloud Platform (GCP), leveraging services such as Firestore, Firebase Storage, and Cloud Functions. Collaborated with software developers and analysts to understand requirements, creating a comprehensive data recording and reporting solution that allows users to record data, visualize real-time analytics, and interact with machine learning (ML) outputs for actionable insights.
• Developed and integrated front-end applications using React, coding the front end and integrating it with a microservices architecture utilizing Google Cloud Functions, Firestore Database, Firebase Storage, and Cloud Run. Implemented secure authentication using Firebase Authentication and custom access rules. This modernization saved 7 hours per week and enabled KPI visualization through Google Analytics, improving operational efficiency and data-driven decision-making.
• Migrated over 10 years of legacy data from on-premises databases to Firestore in JSON format. Implemented machine learning pipelines using AI Platform and Firebase Functions, enabling real-time predictions accessible to users and facilitating data-driven actions.
• Ensured robust data security and compliance by designing and enforcing access control rules using Firebase Security Rules and integrating Cloud Identity and Access Management (IAM) for role-based access control.

Data Engineer - Community Consulting Project

• I am the team lead of data architect team in the academic consulting project and my responsibilities include defining data flow diagrams, validating and merging data from multiple sources ,and developing ETL solutions to support data scientists and UI/UX teams that will be easily scalable and transferrable from on-premises to cloud platforms.

• Responsible for designing a dashboard for data observability and create alerts for manual validation by the GPSM (Procurement) team.

Data Engineer / Architect - Academic Consulting Project

Kamna Digicolor Prints

• Founded a digital printing press, employing nine employees, providing services to 70+ B2B clients, and consistently generating net income for over four years. 

• Developed pipelines and dashboards to visualized the KPIs of machine-generated data and employee-reported data for comparison, surveillance purposes and checking errors in machines.

• I was successfully able to analyze the annual audit and supply-demand trends to overcome the bullwhip effect due to covid-19 by adapting the business to cater to pharmaceutical companies instead of export companies, resulting in no layoffs and improving the sales by 90% from Q2 2020 to Q3 2020 while facing lockdowns induced by the pandemic.

• Analyzed geographic segmentation of customer data and organized a statewide marketing campaign to increase awareness and consolidate the market share in northern India, increasing MoM footfall of B2B clients by 56%.

Founder 

I am an Analytics Engineer with a strong background in data engineering, machine learning, and web development. With a Master's in Management Analytics from McGill University, I specialize in building scalable data architectures, data pipelines, and leveraging machine learning for data-driven decisions.

In 2018, I built a digital printing press from the ground up, managing operations, customer relations, vendor management, and employee oversight.

Over the past few years, I’ve worked with international companies, including CAE, ALDO, and Reserva Conchal on academic analytics and research projects. These involved developing data architectures and pipelines, supporting data scientists, and creating documentation for knowledge transfer and solution health monitoring.

Currently, as an Analytics Engineer at CAE, I design and implement data architectures, create scalable ETL solutions, and build dashboards for data observability. I’ve also led consulting projects, helping startups refine their strategies and pitches.

I have experience in web development, working with Google Cloud Platform (GCP), React, and Firebase to build data-driven applications. 

Outside of work, I enjoy gardening, baking, building IoT projects with Raspberry Pi, and hiking.

Skills:
Programming Languages: Python, SQL, NoSQL (Neo4J), R, C++
Visualization: Power BI, Looker Studio
ETL: Dbt, ADF (Azure Data Factory), Azure Synapse Analytics, Google Cloud Functions, Databricks workflows and Delta Live Tables
SQL: PostgreSQL, MySQL
Version Control: Git (GitHub)
Orchestration: Apache Airflow
Operating System: Windows, Linux
Microsoft Products: Excel, Word, PowerPoint, copilot
Analytics and Engineering Competencies: Scripting, Object-Oriented programming, ETL, Databases, Math & Statistics (Probability, Statistics, Calculus, Linear Algebra), Gurobi, Machine Learning, Data Science, Data Analytics, Data Lake, Data Warehouse, Data Visualization, Data Management, Command Line Interface, Cloud Platform (Azure, GCP), IFTTT, Apache spark, Docker, CI/CD Pipeline, Data extraction with APIs, Data pipelines in JSON (semi structured) format.

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Shoeb Hosain

Vibhu Bhardwaj

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