Design Thinking.
My focus is on discovering oportunities to strategically design scalable business systems. Enhancing workflows through
cross-functional teamwork and technology, and meticulously tracking client experiences for improvement metrics.
Continuously learning by building the logic from ground up. Breaking down problems into core components and testing for optimal results.
II. Case Studies
Real Problems.
Real Solutions
Focused on Business Process Re-engineering, Supply Chain Analytics, and Strategic Sourcing. Each card flips to reveal the full Problem–Action–Result breakdown.
Disclaimer: The case studies presented above are for academic and demonstrative purposes. Data and insights were synthesized from various public domain sources, industry reports, and hypothetical business scenarios to illustrate strategic framework application. All trademarks and brand assets belong to their respective owners.
III. Operations Simulators
Data in Action.
Interactive Models
Strategic growth relies on mastering the trade-offs between operational efficiency and financial performance.
Two interactive models built from real-world operations problems.
Inventory Lab uses EOQ and safety stock logic applied at Ward Tires.
Queue & Staffing Lab models the staffing trade-off from Six Flags — finding the right number
of servers without over-spending on idle capacity.
Total units sold or consumed per year. At Ward Tires this was SKU-level tyre demand across trade channels.
How much daily demand fluctuates. Higher variability requires more safety stock to protect service level.
Fixed cost each time you place an order — admin, freight set-up, receiving labour.
Landed cost per unit. Used to calculate the holding cost on capital tied up in inventory.
Cost to store one unit for one year as a % of its value. Typically 20–35% including capital, warehouse, insurance, and obsolescence.
Average days from purchase order to stock arriving. Longer lead time = more stock needed to bridge the gap.
How unpredictable your supplier's delivery is. High sigma = wide safety stock buffer needed.
The % of demand cycles you want to fulfil without a stockout. 95% = 1 stockout in 20 order cycles.
Model not yet run
Fill in your parameters on the left and click Run Model to generate your inventory optimisation analysis.
One new customer every X minutes on average.
Total operating window to simulate. 240 = a typical 4-hour peak period.
Average time one server spends with one customer.
Parallel servers working simultaneously. Increase this to see the effect on wait time.
Hourly labour cost per server. Used to calculate total staffing cost vs. wait-time trade-off.
Simulation not yet run
Configure arrival rate, service time and staff count. Click Run Simulation to see queue dynamics.
Current / Year 0 annual revenue in thousands.
High-growth phase reflecting market penetration or new product revenue.
Maturity phase — business stabilises toward a steady-state growth rate.
Earnings before interest, tax, D&A as % of revenue.
Non-cash charge added back to get to free cash flow.
Capital expenditure required to sustain growth.
Incremental working capital needed per dollar of revenue growth.
Weighted average cost of capital. Typically 8–14% for mid-market companies.
Perpetuity growth rate beyond Year 5. Should be at or below long-run GDP growth.
Effective corporate tax rate. US federal + state blended: ~26–28%.
Market comparable exit multiple for terminal value cross-check.
Model not yet run
Fill in revenue projections, cost structure, and market assumptions. Click Run DCF Model to generate NPV, IRR and valuation range.
III. Skills & Tools
Core Competencies.
Drag the cursor across the pit — the balls scatter. Highlighted balls are your core competencies.
Struggling with Execution?
Let's Connect!
A. My foundation in Civil Engineering allows me to understand the complex infrastructure and capital-intensive nature of the Utilities sector, while my MBA and past professional experience in the automotive sector provides the framework to translate those technical realities into C-suite value. I specialize in taking "bottom-up" data and turning it into operational strategies that drive measurable margin growth.
A. It is about creative autonomy and systemic understanding.
Since 2020, I have operated at the intersection of design and digital commerce—building custom landing
pages for retail stores and launching Shopify ecosystems for entrepreneurs. Assisting with targeted ads, SEO Google Analytics, and customer journey mapping.
By coding this portfolio from first principles, I am able to "freewill" the design to match my strategic
brand while demonstrating a fundamental truth: I understand the technical architecture behind the articles
and simulation models I create. In a world of templates, I choose to build the system.
A. A calculated risk I took was at Ward Tires, where I drove the shift toward a Just-In-Time (JIT) delivery model. In the Canadian tire market, where seasonal demand is highly volatile and winter weather constantly threatens supply lines, stripping away safety stock is a massive commercial risk. To mitigate this, I didn't just arbitrarily cut inventory—I completely restructured our vendor development strategy. By collaborating directly with upstream supplier R&D teams and running rigorous cost models, we executed the shift successfully. The result was a 10–15% reduction in stockouts, improving shelf availability during our peak seasons.
A. I am a Canadian Citizen eligible for TN (Trade NAFTA) status under the USMCA. This allows for immediate work authorization upon a job offer in categories like Management Consultant or Engineer. This process is completed directly at the port of entry, bypassing the H-1B lottery and traditional sponsorship costs, making me available to join US-based teams with minimal lead time.
