Veljko Lončarević, 24

Responsible for developing predictive models, conducting exploratory data analysis, and collaborating with cross-functional teams to identify opportunities for process optimization and revenue enhancement in the Business Intelligence department for a Fortune 500 company (Avnet EMEA). Proficient in leveraging SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Scikit-learn, Azure cloud services, Thoughtspot, SQL Server Management Studio (SSMS), Databricks machine learning, Apache Spark, MLflow, and MLlib to extract insights and drive data-driven decisions.

As part of Team Charlie, I participated in the Dockerization process and creation of a Kubernetes deployment, service, and Horizontal Pod Autoscaler for our application. I orchestrated a comprehensive Tekton CI/CD pipeline integrated with GitHub web hooks and Red Hat OpenShift, ensuring seamless automation and deployment workflows.

As a Student Assistant for the Internet Technologies class, I conducted practical exercises on front-end development basics. Guiding students through HTML, CSS, and JavaScript concepts, I facilitated hands-on sessions for building responsive web interfaces. Providing individualized support, I addressed questions and challenges, fostering a dynamic learning environment conducive to skill acquisition in internet technologies.

I contributed to a team tasked with developing a scalable, reliable, and highly performant back-end solution for an HR application. We utilized Golang with the Gin Gonic framework to build robust functionalities, ensuring seamless performance. Leveraging MySQL RDBMS, we designed and implemented efficient data storage and retrieval mechanisms to meet the application's demands. Additionally, we built a RESTful API to facilitate seamless communication between the front-end and back-end components of the application.

TIE 2024 — Čačak

CNN Tech — Belgrade | Springer

Infoteh — Jahorina | IEEE

Microsoft

Oracle Academy