I am a Data Scientist and Analyst with over three years of experience transforming data into actionable insights that drive product growth, customer retention, and strategic business decisions. I specialize in turning complex data into clear, measurable outcomes through statistical modeling, experimentation, and visualization.
At United Bank for Africa (UBA), I use Python, SQL, and Apache Spark to process large-scale datasets, build predictive models, and create interactive dashboards. My work on Customer Lifetime Value (CLTV) and churn prediction models helped improve customer retention by 21%. I also collaborate closely with product and business teams to ensure insights directly inform marketing and growth strategies.
I am proficient in Power BI, Tableau, and Excel, and experienced in running A/B tests, clustering, and performance analyses to guide product decisions. My goal is always to make data accessible and impactful while empowering teams to make faster, smarter, evidence-based choices.
Recognized as a 2× All Builders Welcome Grant winner, I’m passionate about innovation and continuous learning. My certifications in AWS Cloud Practitioner and Microsoft Azure Data Science reflect my drive to stay ahead of evolving technologies in data and cloud analytics.
I thrive at the intersection of data, technology, and business using analytics to uncover opportunities, optimize products, and help organizations grow intelligently.