Data Analyst skilled in SQL, Python, Tableau/PowerBI, and Excel transforming complex datasets into actionable strategies that drive measurable results.
Developed an end-to-end data pipeline for large public health datasets, including ETL, data wrangling, feature engineering, and normalization, followed by EDA and regression modeling to explore links between substance use, personality traits, and demographics. Stack : Python (pandas, numpy, seaborn, matplotlib, statsmodels, patsy), Jupyter Notebook, Excel
Developed an MVP to support Ukrainian defense efforts during the war with Russia, informed by interviews with 90+ stakeholders. Led problem definition and solution design focused on mitigating and intercepting FPV and Shahed drones, including field research in Estonia and direct interviews with a Ukrainian soldier from Ukraine amid the conflict with Russia.
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