Welcome
Bridging Data, AI, and Sustainable Development
Transforming organizations through data-driven insights, AI-enabled solutions, and strategic development approaches.
Data-Driven Innovation for Sustainable Development
My Work
Working with the RISE Initiative in Zambia’s Copperbelt region, I’ve developed a hands-on approach to sustainable development that integrates data-driven analytics, AI-enabled insights, and evidence-based strategies tailored to African markets. Leveraging my background in public health and nonprofit management, I translate raw data into actionable solutions—helping organizations optimize their resources, enhance program outcomes, and ultimately create more resilient, scalable systems.
As I continue to refine my expertise through my Master’s in Public Health studies, I remain committed to leveraging cutting-edge methodologies to drive measurable community impact. From identifying growth opportunities to guiding digital transformation, my goal is to empower NGOs, businesses, and researchers with the tools they need to navigate complex challenges and achieve meaningful, long-term progress.
I’m always open to new connections and collaborative ventures. Together, we can harness the power of data, analytics, and AI to deliver transformative change and sustainable growth in emerging markets.
Data-Driven Impact in Action
Insights In Action
Through RISE, I’ve employed data analytics, evidence-based decision-making, and strategic partnerships to drive meaningful outcomes in Zambia’s Copperbelt region. By using AI-driven insights to identify key community needs and pinpointing the root causes of persistent challenges, we can focus our interventions where they matter most. This targeted, data-driven approach not only optimizes resource allocation but also ensures more sustainable, transformative results—amplifying the impact we can achieve together.
Zambia’s Surprising Insights Revealed by Data
Education:
Despite an 88% primary school enrollment rate, a staggering 99% of children aged 10 cannot read and understand an age-appropriate text—revealing a critical gap in learning quality and early literacy skills.
Health:
Zambia’s health system faces significant challenges, with an HIV prevalence affecting an estimated 1.4 million people and maternal mortality still alarmingly high. Such data underscores the need for targeted interventions, from training healthcare workers to improving early detection programs.
Agriculture:
Although more than half of Zambia’s labor force works in agriculture, only about 15% of the country’s arable land is under cultivation. Tapping into this latent potential through data-driven resource allocation and climate-smart farming could dramatically boost food security and rural livelihoods.
Technology:
While mobile penetration rates exceed 100%, internet access ranges widely between 21.2% and 64.1%, highlighting a deep digital divide. Understanding these nuanced access patterns can guide investments in ICT infrastructure and digital literacy initiatives.
Energy:
With just 14.5% rural electricity access versus 67% in urban areas, data highlights stark energy inequalities. Targeted renewable energy projects and grid expansions informed by robust data analysis can bridge this gap and spur economic growth.
Climate Change:
A 1.3°C temperature rise since 1960 and reduced rainfall patterns have tangible economic repercussions—costing Zambia approximately 0.4% in annual GDP growth. Data-driven climate adaptation strategies, such as scaling drought-tolerant crops or optimizing water resources, are essential for resilience.
Conclusion:
These figures transcend raw statistics. They illuminate hidden challenges, guide strategic investment, and inspire informed collaboration. By leveraging data analysis, non-profits, investors, and policymakers can unlock Zambia’s untapped potential, foster sustainable development, and create lasting impact.