Rôles occupés
Back-end
Cloud
Miscellaneous
Systems
Developed Google Apps Script and Python scripts to clean and transform raw data. Wrote analytical reports on model results to recommend marketing budget optimisation for customers from six countries.
Developed 24 prediction models achieving an average R-squared of 0.9 in forecasting prices. Built data pipelines and performed feature engineering using Pandas and scikit-learn. Visualised prediction results for each model using Seaborn.
Completed user requirement analysis independently. Represented LOEH solely in vendor negotiations for €1 million LIMS procurement. Completed cost-benefit analysis to guide LOEH's LIMS selection based on 3 received quotations.
Executed manual and automated grey box testing and bug tracking. Created and maintained 70 test cases.
Awarded 'Valued Behaviour Role Model April 2020' for outstanding performance. Implemented system translations and conducted quality control by user acceptance and verification testing; resolved a total of 845 issues.
