Birkan Altin

Undertook a nine-month journey across Latin America, completed an intensive Spanish course, and built intercultural networks through active engagement with locals and fellow travelers.

• Led ML-based data quality monitoring project for a leading financial institution (KNIME), including preprocessing, model training, and validation • Planned and implemented microservice architectures and model deployment to optimize KPIs for a global automotive client • Acted as Product Owner and mentored new colleagues, supporting internal marketing, sales, and educational initiatives

• Developed and maintained user-centric dashboards (Power BI, Tableau, Celonis) with automated data pipelines (Python, Azure, Google Cloud) • Conducted data preprocessing, exploratory analysis, and visualization for tourism and automotive projects • Assisted in data quality monitoring projects and supported internal knowledge sharing

• Analyzed and visualized client data (Qlik Sense) to drive data-informed decisions • Developed R scripts for data extraction, processing, and pseudonymization from Google APIs • Created and optimized SQL queries, including bulk updates for M&A projects • Supported management via targeted research, data preparation, and automated analytics

• Supported website development, created market and competitor analyses, and documented processes using the LIPOK method • Conducted research, prepared presentations, and contributed to content marketing initiatives

• Ensured accurate cost calculation for series vehicles and optional equipment by enhancing reporting files (VBA, QlikView) • Conducted cost and volume analyses to identify efficiency and optimization opportunities • Assisted in deploying KNIME for data mining and ML applications in controlling

Responsible for quality management within the association, organizing the recruiting event “Jenaer Unternehmenstage,” representing the association at career fairs including cold outreach, and participating in training courses and workshops.

• Generated regular reports and analyses on global After Sales business performance • Optimized reporting processes (VBA) to improve efficiency and measure service unit profitability • Conducted financial performance analyses and derived actionable insights for management