Electric vehicle market in Spain
MAPE < 8 %Anomaly detection and 2025-2028 forecast.
Solutions
Solutions and practical examples
See how we work before you talk to us. We keep a clear line between demonstration projects, built as proof of hands-on skills and published as open source, and projects using real company data. None of the figures on this page come from a client.
Demos4 projects with codeReal data1 projectTechniquesLSTM, K-Means, RFMToolsPower BI, Python, R
Demonstration projectsDemoDeep Learning · LSTM DemoPower BI DemoR · K-Means DemoMaster’s thesis · Data Lakehouse
Demo projects
Academic and portfolio projects, published on GitHub as proof of hands-on skills.
Executive banking risk dashboard
Applied Big DataCredit, fraud and market risk (99 % VaR).
Zara product segmentation
252 products3 clusters with pricing and inventory recommendations.
Digital transformation in construction
Est. ROI 779 %Team project, cloud architecture and an Agile approach.
Real data
First project with real data
An analysis for a holiday property agency in Benidorm, using its own data: data cleaning, revenue and yield management, RFM customer segmentation and pricing anomaly detection, with Python, R and Power BI.
The work brought to light the seasonality of the business, hidden losses caused by pricing errors and which customers bring the most value. The figures stay confidential.
What we can show you01 02 03 04 05
Examples we walk you through on the call
On the 30-minute video call we show you the example closest to your situation.
Finance and management control
P&L, margins, cash and budget variance dashboards.
Sales and pipeline
Funnel, conversion, deal size and sales forecast, connected to the CRM.
HR
Headcount, turnover, absence and staff costs.
Price prediction
Predictive yield management and pricing analysis.
Logistics
KPI models for delivery, stock and cost per order.