- Owned high-impact projects from concept to production by overseeing architecture, delegating tasks, and doing code reviews to ensure successful execution.- Conducted training sessions to other data scientists and analysts, supporting junior colleagues and fostering skill development.- Evaluated third-party data partnerships, aiming to enhance data quality, onboard new markets and provide strategic solutions to clients.- Designed and optimized end-to-end data pipelines and infrastructure, improving data ingestion, preprocessing, imputation, modelling, and analysis, streamlining processes and increasing efficiency.

- Performed inferential statistical analyses on diverse data sets, including survey samples, employing advanced imputation techniques, regression models, and data calibrations.- Developed and maintained automated data processes, enhancing efficiency, improving quality, and reducing execution time.- Collaborated closely with stakeholders, data analysts, data engineers, external auditors, and other departments.

- Supported other departments and the board of directors by analysing quantitative data to create insightful reports driving business improvements.- Contributed to multiple company projects by assisting with investment calculations and forecasting expected sales and income.- Dealt with the operational control and analysis of customers, assortment, advertisement, suppliers, employees and related processes.- Successfully optimised and automated the creation process of the sales and revenue parts of the monthly P&L report using SQL and VBA.

- Collected and processed accounting data. - Responsible for net asset value calculation (NAV) including cash and portfolio reconciliation, portfolio valuation, calculation of fees and accruals.- Performed various compliance checks of the investment funds.- Created invoice templates and payment instructions.