During my tenure at Spotify, I have played a pivotal role in combating and reducing artificial streaming within the music industry. This effort is crucial for maintaining the integrity of our charts and playlists, ensuring that artists who do not engage in artificial streaming practices are rewarded fairly for their work.In my role, I regularly review our music charts to identify any unusual streaming patterns that may indicate artificial streaming. By doing so, I help maintain the accuracy and reliability of our charts. I also work on identifying and removing tracks involved in artificial streaming from our featured playlists, ensuring that our playlists remain a trustworthy source of high-quality music for our users.Furthermore, I manage disputes that arise from licensors regarding suspected artificial streaming. This involves thorough investigation and resolution to maintain fair play and transparency on our platform. Additionally, I develop and refine queries that aid in the detection of fraudulent streams. These queries are integral to our success in identifying and mitigating artificial streaming, thus protecting the interests of genuine artists.Through these initiatives, I contribute to a fairer and more transparent music industry, ensuring that deserving artists receive appropriate recognition and compensation for their work.

As an experienced Technical Investigator Fraud Data Analyst at Meta, I have developed a strong expertise in identifying and eliminating fraudulent pages on Facebook and Instagram. Through my data-driven approach, I have consistently delivered valuable insights that have led to substantial daily cost savings for the company.One of my key strengths lies in my ability to develop and implement effective dashboards that enable real-time tracking of fraudulent activities. These dashboards not only provide a comprehensive overview of the extent of fraudulent pages but also help in identifying patterns and trends that aid in proactive fraud prevention. By closely monitoring these dashboards, I have been able to swiftly identify and take down fraudulent pages, minimising their impact on user experience and brand reputation.In addition to my technical skills, I am adept at documenting investigative methodologies. This documentation serves as a valuable resource for knowledge sharing among team members and also facilitates training programs for new investigators. By sharing best practices and lessons learned, I contribute to the continuous improvement of our investigative processes, ensuring that our team remains at the forefront of fraud detection and prevention.Overall, my experience as a Technical Investigator Fraud Data Analyst at Meta has equipped me with the skills and knowledge to effectively combat fraud on Facebook and Instagram. I am passionate about leveraging data-driven insights to protect users and the integrity of the platform.

The Rail Delivery Group (RDG) has been instrumental in my ongoing development of analytical skills. During my tenure, I took the initiative to revamp our monthly statistics, which led to significant improvements in our team's performance and overall efficiency. This data-driven overhaul yielded valuable insights, positively impacting our ratings and operational outcomes.In addition to my work on statistics, I spearheaded a ground-breaking initiative in the rail industry by focusing on fraud detection and analysis. Leveraging journey data, I created comprehensive reports to closely monitor and identify fraudulent activities. Through successful collaborations with various railway companies, we were able to take legal actions against offenders. In just the first year, this initiative resulted in the recovery of £1,000,000 worth of fraudulent travel from a single company.Furthermore, I played a pivotal role in establishing a robust and efficient process for fraud detection within train operating companies. This system ensures optimal outcomes, not only in terms of financial recovery but also in maintaining the integrity and trust of the industry. My work at RDG has not only honed my analytical skills but has also contributed significantly to the railway sector's fight against fraud and the improvement of its overall performance.

During my enrolment in a full-time degree apprenticeship, I had the invaluable opportunity to concurrently pursue a Level 4 degree while gaining practical "on the job" experience in a dynamic office environment. Within this role, I was responsible for creating comprehensive reports and databases using intricate, voluminous data sets for some of the company's most significant projects. My key contribution was analysing and presenting this data in a clear, decisive manner, which greatly benefited both our customers and my team. My work involved transforming complex data into easily digestible information, aiding our customers in visualizing, and forecasting project status and progress. I played a crucial role in identifying potential areas for improvement, thereby enhancing project efficiency. Moreover, I was regularly called upon to present these results in conference calls to diverse audiences, accommodating individuals with varying levels of technical expertise. Simultaneously, I assumed an additional role beyond my primary data analyst responsibilities. Within just 18 months of commencing my career, I actively contributed to the management of four customer telecom projects. This multifaceted experience not only enabled me to earn a Level 4 degree but also equipped me with the practical skills and insights necessary to excel in a professional office environment, making a substantial impact on the success of our projects and the satisfaction of our customers.