- Creating Python package for Synthetic Data Generation- Improving visualisations and reporting in our synthetic data tool- Building Sphinx documentation - Research into GANs, Bayesian Networks and metrics for tabular synthetic data- Strategizing on bringing synthetic data to the wider Vodafone community- Understanding ways quantum kernels can be used in machine learning

- Working on Commercial and Financial dashboards with Qlik Sense and Looker Studio- Creating PowerApps as custom survey solutions- Using SQL to manipulate data to create more informed insights- Creating custom assessment for incoming Data graduates

-Data processing and analysis of domestic energy tariffs to produce average annual bills and customer proportions for the Quarterly Energy Prices (QEP) publication. -Communicating with external energy suppliers to ensure timely reporting and good quality data collection-Developing a new set of automated processing using SQL and Python-Collaborating with other teams to update and improve our data source-Assisting another team in the department, which allowed me to learn about Energy Security during Brexit and for this received an In Year Award.

As Captain I organised training sessions, transport and planned and managed indoor and outdoor competitions for the club.