Joseph Kayıjuka

. Completed a customer churn analysis, demonstrating advanced data analytics skills, identifying essential client data and outlining a strategic investigation approach. . Conducted efficient data analysis using Python, including Pandas and NumPy. Employed data visualization techniques for insightful trend interpretation. . Completed the engineering and optimization of a random forest model, achieving an 50% recall rate in predicting customer churn.

• IT Support and maintenance for 30 users • Troubleshoot and resolve technical issues with Win OS, O365, workstations, mobile devices, and printers, via phone, e-mail, remote access . • Ticketing management (Jira, Confluence). • System Configuration Management/ Remote controlling. • Configured additional equipment including printers and modems. • Windows OS and Mac OS re-imaging.

• Analyzed search query data and keyword performance metrics to identify target audience trends, using these insights to optimize website content and improve organic search ranking. • Maintained and managed the sales database using SQL, writing queries to extract, clean, and analyze data for reporting and decision-making. • Worked closely with the marketing and CRM team to reach potential customers through targeted content and follow-up actions. • Responded to incoming inquiries (emails, phone calls) and

Studienfach Mathematik und Informatik