Alina Molnar

Standardize supply, sales and stock queries and validate them together with stakeholders to build a datamart they can trust. Help create a data dictionary for previously undocumented sources. Reporting business KPIs for e-commerce shops in Power BI and Metabase. End-to-end Power BI reports: custom import queries with SQL and Python with Redshift connector, transform data in Power Query, data modeling, DAX measures, graphs, time series, publish reports, automatic refresh, Confluence documentation, JIRA.

Online study and practice. Plan and manage end-to-end project to reduce beer waste by 28%. Clean, process, transform, data analysis, statistics. Python, Pandas, NumPy, Matplotlib, Seaborn. Develop ML decision trees models in H2O.ai with Random Forest and Gradient Boosting. Score metrics on test set and deploy approved models on unseen data. Follow coding good practices, write documentation. Present insights in Power BI. Video at http://tiny.cc/recommendation_model GitHub repository at https://git.io/JKkH0

Managed embryo rescue projects. Used statistics skills to analyze six growth media to increase germination by 31% in Pelargonium and by 6% in Petunia. Reduced infection by 66% by shortening time between sterilization and processing. Communicated insights to internal stakeholders from Europe and N. America. Sorted unstructured legacy files and wrote nine embryo rescue and one in-vitro germination protocols with this data. Left job because lab moved to Netherlands.

During University various traineeships and volunteering. Protocol search in scientific databases. Plan germplasm collection, monitor plant genetic resources, record data under FAO standards. Plant propagation. Sterilize and prelevate explants for tissue culture. Achievement: First documented collection of edible flowers in Romania.

Managed team of five and trained new colleagues. Monitored KPI. Planned tasks, updated inventories, reported sales and optimized stocks. Implemented method to reduce time for checking stocks and invoices by 30% by increasing quantities and decreasing frequency of orders in fast selling goods.

Help and bill customers. Organize daily duties. Check incoming stocks.