- Spearheading the development and execution of BI strategies to drive revenue growth and operational efficiency and effectiveness.- Leading a dynamic team of analysts and data professionals, fostering a culture of innovation and data-driven decision-making.- Aligning BI initiatives with PCB's business goals, ensuring a comprehensive approach to data-driven strategies.

- Worked closely with other developers, analysts and stakeholders to ensure that our solutions meet the needs of the business and customers.- Continuously improved the performance, scalability and reliability of our core and data systems through rigorous testing, monitoring and tuning.- Identified complex technical issues in a timely and efficient manner to minimize downtime and ensure smooth operation of our systems.- Wrote and maintained extensive documentation to fully ensure that our systems are easily understandable and accessible to all colleagues and stakeholders.- Wrote high-quality and well documented code in order to implement new features, fix bugs and improved the performance of our software and data solutions.- Clearly communicated technical information to both technical and non-technical stakeholders, including Board of Directors, Senior Management and ProCredit Group stakeholders.

As an active member of the Google Developers Group Sarajevo, I have had the privilege of participating in stimulating meetups and weekly events that have provided me with invaluable hands-on experience with cutting-edge cloud technologies. Through these events, I have worked diligently on labs that were made available through the GoogleCloudBoost program, gaining practical skills in Data Engineering by utilizing various GCP technologies such as BigQuery, Dataflow, Dataproc, Pub/Sub and others.

- Used SAS Enterprise Guide and SQL to analyze credit risk data and identify trends and patterns that could potentially affect the Bank's credit risk.- Worked closely on development and implementation of credit risk models that are accurate, reliable and scalable.- Continuously optimized credit risk models to ensure that they remain updated with changing market conditions, regulations and business requirements.- Automated credit risk processes where it was possible to reduce risk of errors and increase efficiency.- Monitored credit risk models in order to identify any issues or anomalies, and take appropriate action to address them.- Communicated credit risk results and insights to internal and UCB Group stakeholders in a clear and concise manner, as well as provide recommendations where appropriate.

Worked for companies in various IT & Data analyst capacities, namely; University of Sarajevo, EMP, Veeva, Team Construction (TC Jobs Canada) and others.