Data Science student at UNIR · AI QA Engineer Intern at ObviousFuture · Madrid, Spain
This repository showcases end-to-end Data Science projects focused on predictive analytics, machine learning, and operational optimization, with emphasis on real-world business applications.
| # | Project | Domain | Tech | Status |
|---|---|---|---|---|
| 01 | 🐾 Mexikans Analytics — Demand Forecasting for Veterinary Clinics | Healthcare / Operations | Python, Pandas, Scikit-learn | ✅ Complete |
Folder: ES_MexikansVeterinaryNetwork
End-to-end Data Science project focused on analysing and predicting operational demand in a network of veterinary clinics.
Veterinary clinic networks face significant variability in daily demand, which directly impacts:
- Staff allocation
- Service capacity
- Waiting times
- Overall operational efficiency
Without accurate forecasting, clinics operate reactively, leading to inefficiencies in resource utilisation and service quality.
Objective: Anticipate demand and support operational planning through data-driven models.
- Exploratory Data Analysis (EDA) on clinic visit patterns
- Feature engineering from temporal and categorical variables
- Multiple regression and time-series forecasting models evaluated
- Business-oriented insights and recommendations
- LinkedIn: linkedin.com/in/semersonantonio
- Email: s.emersonantonio@gmail.com
- Location: Madrid, Spain