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Case Studies

Learn how the world's sharpest AI and data teams ship.

In-depth breakdowns of the algorithms, data flywheels, and business decisions behind the companies our students want to work at, and the ones quietly redefining how entire industries run.

11+

Companies analysed

6

Industries covered

30+

ML & data patterns

The Library

Every case study, in one place.

11 of 11 studies

Alumni Favourites

The case studies that actually changed careers.

Each of these Wills alumni can trace a specific offer or promotion back to a framework they first saw broken down in a case study.

Star Alumni
RD

Rahul Desai

Agentic AI

Before

Backend Engineer, Paytm

After

AI Engineer, Razorpay

Breaking down how OpenAI productised RLHF at scale completely changed how I designed my capstone. I went into the Razorpay interviews talking about retrieval trade-offs the way the case study framed them.
Learned fromOpenAI case study
AK

Ananya Krishnan

Data Analytics

Before

Excel Analyst, Mid-size SaaS

After

Data Analyst, Flipkart

The Netflix case study on experimentation velocity rewired how I think about A/B tests. I built my final dashboard around the same guardrail metric patterns they use internally.
Learned fromNetflix case study
AM

Arjun Mehta

Data Science

Before

ML Intern, Early-stage startup

After

ML Platform Engineer, PhonePe

Uber's surge model explained as three stacked models instead of one magic pricing engine is exactly the mental model I used to land my PhonePe interviews.
Learned fromUber case study
Star Alumni
SW

Sophie Williams

AI Business Analytics

Before

BI Analyst, 4 yrs stuck

After

BI Manager, Deloitte UK

The Starbucks loyalty breakdown gave me the exact narrative arc for a stakeholder pitch I had been struggling with for months. It was the turning point in my promotion conversation.
Learned fromStarbucks case study
NG

Nitesh Gupta

Data Science

Before

Product Analyst, Swiggy

After

Data Science Lead, Swiggy

Amazon's hierarchical forecasting case study directly shaped the approach I proposed internally. It got me the lead role and an actual roadmap to execute.
Learned fromAmazon case study
JT

James Thornton

Data Science

Before

Software Developer, 6 yrs

After

Senior Data Engineer, HSBC

The Stripe Radar deep-dive was the first case study that treated fraud ML as a systems problem, not a modelling one. That framing was the whole reason I pivoted into engineering-first data roles.
Learned fromStripe case study

Brand Explorer

Every company we’ve broken down, or will soon.

AI & ML platforms

OpenAIAnthropicGoogle DeepMindHugging FaceNVIDIA

Data-driven consumer

NetflixSpotifyAirbnbUberInstagram

Commerce & payments

StripeAmazonShopifyRazorpayPayPal

Retail & brand

NikeZaraStarbucksLululemonSephora

Frontier & hardware

TeslaAppleSpaceXWaymoFigure

Coming soon

Anthropic · Google DeepMind · Meta AI · Hugging Face · Shopify · Figma · Notion · Instagram · Razorpay · Swiggy

Apply what you learn

Stories like these are the spine of every Wills program.

Our curriculum is built around the exact playbooks in these case studies, shipped by engineers and analysts who've worked at the companies we break down.