Jelena Pekez

Principal Business Consultant for Data Science

Together with her team of data scientists and data engineers, Jelena focuses on developing machine learning algorithms and helping clients leverage their data sources. Jelena is experienced in building and maintaining Next Best Action engines, Recommendation engines, a variety of different Propensity-to-Buy models for x-sell and upsell, SNA, churn prediction, price optimization, CRM micro-targeting, as well as in Chatbot implementation projects. Her domains of expertise are dominantly in Telco, Banking, and retail business, and she is also a conference speaker.

Before coming to Comtrade, she has spent 10 years in various positions at Telenor Serbia, all in the area of Data Science and Analytics, focusing on Consumer Marketing and CLM.

Jelena specializes in:

  • Designing the ML process from idea to deployment and into the business process
  • Development of ML models and combination with hybrid machines
  • Integration between various systems, databases and Campaign Management Systems
  • Coordination of project implementation
  • Coordination of business analysis for different data projects (ML, DWH, and BIG data projects)
  • Customer support
  • Tools mainly used: Python, SQL, Azure services: ML Services, CosmosDB, ADF, Cognitive services; IBM: SPSS Modeler, Watson Studio, Cloud Pack for data; Jenkins, Apache Airflow, Plotly Dash