APPLIED PROJECTS

Build work that forces you to make real analytical decisions.

Open realistic case briefs, work through the data and trade-offs, then communicate a recommendation you can stand behind.

10Applied projects26Skills & themes0Completed locally

10 cases

CASE PORTFOLIO / 10

Problem → Data → Decision → Deliverable
P01

FEATURED CASE

Retention analysis case study

BeginnerBusiness4-6 focused hours

Customer Churn Analysis

Analyze customer behavior and identify the patterns most strongly associated with churn risk.

CASE STUDY FOCUS

Investigate the customer base, calculate churn patterns across meaningful segments, and turn the analysis into practical retention recommendations that a business stakeholder could act on.

PythonPandasEDAData Visualization
Explore project
P02

FEATURED CASE

Commercial performance analysis

BeginnerBusiness4-6 focused hours

E-Commerce Sales Analysis

Analyze revenue trends, products, customers, and business opportunities in a realistic online retail dataset.

CASE STUDY FOCUS

Explore order-level sales data, surface the most important commercial patterns, and produce a concise set of insights and recommendations for a business review.

PandasSQL conceptsEDAVisualization
Explore project
P03

FEATURED CASE

Campaign effectiveness analysis

BeginnerMarketing4-6 focused hours

Marketing Campaign Performance

Evaluate campaign effectiveness and identify the best-performing customer and campaign segments.

CASE STUDY FOCUS

Measure campaign performance using core marketing metrics, compare customer and campaign segments, and recommend how future budget should be allocated.

PandasStatisticsVisualizationBusiness Metrics
Explore project
P04

PROJECT 04

Credit-risk modeling case study

IntermediateFinance6-8 focused hours

Loan Default Risk Analysis

Explore borrower characteristics and design a structured workflow for predicting loan default risk.

CASE STUDY FOCUS

Analyze borrower and loan features, identify the strongest default-risk patterns, and outline or build a classification workflow with metrics suited to lending decisions.

Data CleaningEDAFeature EngineeringClassificationModel Evaluation
Explore project
P05

PROJECT 05

People analytics case study

IntermediateBusiness6-8 focused hours

Employee Attrition Analysis

Understand the factors associated with employee attrition and structure a predictive workflow around them.

CASE STUDY FOCUS

Explore employee records to understand attrition drivers, develop segment-based insights, and design a prediction workflow that could support retention planning.

EDAStatisticsFeature EngineeringClassification
Explore project
P06

PROJECT 06

Fraud-evaluation strategy case study

AdvancedFinance7-10 focused hours

Fraud Detection Case Study

Design an evaluation strategy for a highly imbalanced fraud detection problem without relying on misleading headline metrics.

CASE STUDY FOCUS

Audit an imbalanced fraud dataset, compare evaluation strategies, and design a threshold-selection approach that reflects fraud costs and review capacity.

Class ImbalanceClassificationPrecisionRecallF1Thresholds
Explore project
P07

PROJECT 07

Retail forecasting workflow

AdvancedOperations7-10 focused hours

Demand Forecasting for Retail

Create a structured workflow for forecasting future product demand using historical sales and time-based features.

CASE STUDY FOCUS

Build a forecasting workflow that uses historical demand patterns, time-based features, and realistic validation to estimate future product demand.

Time SeriesFeature EngineeringValidationForecasting
Explore project
P08

PROJECT 08

Healthcare operations analysis

IntermediateHealthcare6-8 focused hours

Healthcare Appointment No-Show Analysis

Analyze appointment behavior and identify the factors associated with missed healthcare appointments.

CASE STUDY FOCUS

Explore appointment data, identify the strongest no-show patterns, and propose operational actions or a modeling direction that could reduce missed appointments.

Data CleaningEDAStatisticsFeature Engineering
Explore project
P09

PROJECT 09

End-to-end SaaS retention modeling capstone

AdvancedBusiness8-12 focused hours

End-to-End Customer Retention Modeling

Build a defensible churn-prediction workflow from framing and leakage checks through final evaluation and stakeholder communication.

CASE STUDY FOCUS

Create a reproducible predictive workflow that identifies useful churn risk while documenting its limits, threshold decision, and recommended retention action.

ClassificationPipelinesFeature EngineeringModel EvaluationTrees & Ensembles
Explore project
P10

PROJECT 10

E-commerce segmentation case study

IntermediateBusiness6-8 focused hours

Customer Segmentation and Growth Strategy

Discover, profile, and cautiously use customer segments to recommend growth actions.

CASE STUDY FOCUS

Use defensible unsupervised analysis to identify useful customer structure, explain its limits, and recommend evidence-based growth actions.

EDAK-MeansPCAPreprocessingBusiness Strategy
Explore project