Emma Easton

Data Analyst| Data Scientist (BI & Data Pipelines) at Freelance

Reporting automation and data pipeline integration (Power BI, Qlik Sense); build curated database management systems (VBA, Userforms); conducting customized online training courses in data analysis; apply data quality checks and confidentiality rules; supported financial planning and production forecasting through data-driven insights.

Reporting and Data Analysis Officer - VIE at La Compagnie Fruitière (SCB subsidiary)

Report automation and data flow integration (R, Python, Qlik Sense); prototyping large-scale reporting solutions with R and Power Query while ensuring data reliability; data science for production (ANOVA, regression, RF, clustering); building employee training courses in statistical methods and data analysis in R within an agronomic trials framework.

Head of the Employment/Management Unit - Permanent Contract at Chamber of Agriculture of Réunion

Management of the employment and management unit (15 employees: payroll managers and management advisors); administrative and legal support for farmers; development of tools and events to promote employment in agriculture; implementation of training programs for farmers.

Manager Consultant - Fixed-term Contract at Chamber of Agriculture of Réunion

Contracted management consulting role supporting organizational development and project execution within the agricultural sector.

Data Analyst | Data Scientist (BI & Data Pipelines) at Freelance / Independent Contractor

Reporting automation and data pipeline integration (Power BI, Qualtrics); business insights; data modeling and ML workflows (regression, clustering, RF, XGBoost, SMOTE); building curated database management systems (VBA, Userforms); conducting customised online training courses in data analysis; applying data quality checks and confidentiality rules; additional work in financial planning and translation of documents FR-EN.

Reporting and Data Analysis Officer - VIE at La Compagnie Fruitière (SCB subsidiary)

Reporting automation, data flow integration (R, Python, Qlik Sense); prototyping large-scale reporting solutions with R and Power Query while ensuring data reliability; data science for production (ANOVA, regression, RF, clustering); building employee training courses in statistical methods and data analysis with R within the framework of agronomic trials.