Jonathan Ludolph

Lead the design and implementation of solutions to end to end data science projects: gathering project requirements, data extraction, data discovery, data cleaning, data analysis and dashboarding for presentation of findings. Identified key problem areas across the business by analysing more than 1000 customer feedback responses monthly to drive targeted bug fixing which reduced the time to resolution by 75%. Developed python pipelines to automate recurring tasks and reduced time of project delivery by 30%. Implemented a pipeline design for a quarterly data refresh that was previously done manually, speeding up the process by 60%.

Established python pipelines and classes for automated data extraction, transformation and visualisation. Conducted in-depth analysis of national demographics and employment trends to establish the viability of remote working for selected roles. Engineered python classes for unstructured data (e-mail) cleaning and anonymisation. Developed dashboards and visualisations to monitor internal metrics and present findings to stakeholders .