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.

Published over 10 research papers in international scientific conferences, including TIE, INFOTEH, CNN Tech, ICITTBT, and IcETRAN, with a research focus on AI/ML. Award recipient for the best research paper in the field of acoustics at IcETRAN 2025. Contributed 2 book chapters to monographs (edited academic volumes) published by Springer. Previously engaged in Industry Fellow and Student Demonstrator roles at the same institution from 2021 onward.

As part of Team Charlie (Application delivery in a Continuous, Automated, and Sustainable Way), 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.

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.

IcETRAN 2025 — Čačak | IEEE

TIE 2024 — Čačak

CNN Tech — Belgrade | Springer

Infoteh — Jahorina | IEEE

KNIME

Microsoft

Oracle Academy