Priscilla Chinwendu Ezulu

An experienced Data Analyst and Scientist with over four years in the field, I specialize in transforming complex datasets into strategic insights that inform decisions across sectors like public health, education, finance, marketing, agriculture and others. Known for my blend of technical expertise and collaborative approach, I develop data-driven solutions that address immediate objectives while aligning with broader organizational goals.

Currently, I partner with cross-functional teams, including decision scientists, machine learning engineers, and product managers, on high-impact projects that integrate citizen perspectives into government policy-making. My responsibilities span data cleaning, profiling, and deriving new variables to highlight critical trends and insights. I translate these findings into clear, actionable presentations that empower stakeholders to make well-informed decisions.

Technically proficient in Python for exploratory data analysis, machine learning, and scenario modeling, I also use SQL for data integration and complex querying. My skills in Power BI and Tableau enable me to create dynamic dashboards and visualizations, converting raw data into valuable insights for real-time decisions. My geospatial expertise with ArcGIS and QGIS further enhances my analyses providing a comprehensive view of spatial patterns and trends.

Beyond analytics, I am familiar with Google Cloud Platform (GCP) and Azure that allows me to host sites, deploy machine learning models, and ensure efficient data handling and security.

In addition to my technical work, I lead capacity-building efforts, training government teams in DHIS2 and Power BI to ensure data continuity and application. As a tutor at the Data and Machine Learning Academy, I mentor future data professionals, reinforcing my commitment to the field and to knowledge-sharing.

With a comprehensive skill set, practical experience, and a strategic mindset, I deliver insights that drive growth, create sustainable data practices, and empower stakeholders to fully harness the potential of data.