Summary
Maggie Petrova is a data scientist with eight years of experience applying analytics and machine learning to business problems from Bulgaria. She combines strong programming skills in R, Python and SQL with production-focused tooling such as Flask-RESTful and Analytics APIs to deliver data products. Maggie has deep practical experience with enterprise analytics stacks—SAP Business Warehouse, Microsoft Dynamics NAV and advanced Excel automation—paired with modern visualization and experimentation tools like Power BI, Google/Adobe Analytics and Maxymiser. Her work blends experimentation, web analytics and session-analysis platforms (SessionCam, Decibel Insight) to drive insight-led improvements in digital experiences. Comfortable moving models from analysis into APIs, she’s as at home writing macros and Power Pivot as deploying ML prototypes. Colleagues describe her as a hands-on ML engineer who loves "doing stuff with data" and turning complex tracking signals into actionable metrics.
8 years of coding experience