Data Science student at Universidad Nacional de Entre Ríos, complemented with specialized training at Coderhouse and Guayerd. I transform raw data into actionable insights through Business Intelligence, Machine Learning, and statistical analysis.
Currently seeking: Internship opportunities in Data Analytics / Data Science to apply my technical skills in real-world projects.
- Analysis & Programming: Python and R for statistical computing.
- Data Management: Data modeling, SQL querying, and storage engine architecture.
- Predictive Modeling: Implementation of Machine Learning algorithms.
- Data Visualization: Transforming data into actionable insights with Power BI.
- Data Engineering: ETL (Extract, Transform, Load) processes.
| Project | Description | Technologies | Links |
|---|---|---|---|
| Numismatic Analytics | An automated, end-to-end Data Engineering (ELT) pipeline that scrapes, processes, and models the collectible banknote market to visualize historical pricing trends. | Data Engineering, Google Cloud, dbt core, Python, Terraform, BigQuery, Looker Studio |
View Code |
| HealthTech BI | Analysis of surgical robotics adoption in LATAM. Data processing and modeling for business intelligence. | SQL Server, Power BI, Python |
View Code |
| Customer Churn Predictive Model | Predictive model for customer churn using EDA and ML for proactive retention strategies. | Python, Machine Learning |
View Code |
| Futura Ganadera (Livestock ML) | ML application for the livestock sector: predicting optimal buying/selling moments and profitable destinations. | Python, Machine Learning |
View Code |
Interested in talking about data, opportunities, or projects? Feel free to reach out!
- LinkedIn: Camila Ayelén Durand
- GitHub: @Camila20197
Transforming data into the engine of strategic decisions 🚀