What will this book teach you?
How to approach a data science problem from scratch – Learn to ask the right questions, define business goals, and determine the data needed.
Feature thinking made practical – Understand what features to engineer for each use case and why.
Designing the right ML solution – Learn which models to use, how to evaluate them, and how to interpret results.
End-to-end analytics frameworks – Go beyond ML with strong descriptive, diagnostic, and inferential techniques.
System design for data science – Learn how to productionize your ML work with pipelines, feedback loops, and model serving.
What’s inside the book?
1. Foundations (Sections 1–3):
Introduction to Data Science, Analytics, and Machine Learning
Real-world analogies and industry insights
Clear differentiation of when to use analytics vs. ML
2. Retail & eCommerce:
Churn Prediction, Demand Forecasting
Recommendation Systems, Customer Segmentation
Price Elasticity using A/B Testing
3. Finance & Fintech:
Credit Scoring, Fraud Detection
Portfolio Risk, CLTV Prediction
Smart Transaction Routing
4. Supply Chain & Operations:
Inventory & Route Optimization
Supplier Reliability, Backorder Forecasting
Anomaly Detection in Logistics
5. Marketing & Sales:
Campaign Uplift, Dynamic Pricing
Sales Forecasting, Attribution Modeling
Sentiment Analysis
Why is this book different?
This is the only book that connects business understanding to data and system design.
Each use case includes:

Business Objective & Key Questions
Data Requirements & Assumptions
Analytical & ML Solutioning
Feature Engineering Insights
Modeling Approaches
Business Metrics & Evaluation
Production-Ready System Design
Who is this book for?
Whether you're a fresh graduate, a data enthusiast looking to break into data science, a working professional transitioning from BI/Analytics to ML, or a product manager or consultant who needs a structured framework—this book is designed for you. It eliminates fluff and delivers exactly what interviewers and real-world business challenges demand: clarity, structure, and actionable solutions.