

Motivated and detail-oriented Junior Data Scientist with a strong foundation in Python, data visualization, and statistical analysis. After working as a veterinary assistant, I developed strong analytical thinking and data interpretation skills through monitoring animal health and farm performance. I have since completed an intensive ''CodeAcademy'' Data Science program (496 hours), where I learned modern data tools and applied them to real-world projects. Eager to contribute to data-driven decision-making and continuously improve in the field of data analytics and machine learning
- Managed farm data using ''DeLaval'' and ''GEA CowScout'' software to optimize herd performance.
- Analyzed cattle health patterns using ''BROLIS'' laser system reports.
- Coordinated a team and maintained detailed health and production records.
-Be a leader and make quick decisions.
- Communication skills with the owners of the patients.
- Quick orientation.
- Assessment of critical situations and problem solving.