Summary
Mihaela-nicoleta Dobre is a Senior Data Analyst with 11 years’ experience turning complex operational data into measurable business value for asset-intensive industries such as energy, automotive, and renewables. She blends predictive analytics and ML (XGBoost, Random Forest) with executive-level dashboarding (Power BI, TIBCO Spotfire) to drive production forecasting, equipment-failure prediction, and portfolio optimization at OMV Petrom. Her work emphasizes data democratization—making upstream data accessible to cross-functional teams—and translating models into proactive maintenance and commercial decisions. A mathematician by training with dual master’s degrees, she pairs strong statistical foundations and SAS/SQL/R skills with recent upskilling in Microsoft Fabric and the Azure ecosystem. Ranked 5th nationally in the WiDS Datathon, she brings both competitive applied-ML chops and practical experience improving profitability and forecasting across sectors.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Database, Master's degree, Database at University of Bucharest