Turning Complex Data into Actionable Insights
I am a data-driven technologist specializing in Data Engineering, Business Intelligence, Geospatial Analytics, and Artificial Intelligence. I work across the value chain to develop insights that drive social and economic impact, with a focus on advancing the digital economy and emerging technologies across the African continent.
This project explores the relationship between a country's GDP per capita and its fertility rates. Using data analysis and visualization, it examines how economic prosperity may influence population growth trends across different nations.
This project provides a comprehensive analysis of the relationship between the UK housing market and the FTSE 100 Index. It explores trends, correlations, and performance patterns between the UK real estate sector and stock market indices.
Explore the relationship between GDP per capita and malnutrition prevalence worldwide. Our project visualizes data, provides insights, and highlights the socio-economic factors influencing global nutrition and well-being.
An analytical project that predicts the survival probability of Titanic passengers using machine learning and data analysis techniques.
Comprehensive BI dashboard tracking 38K+ loan applications with funding analysis, DTI calculations, and loan quality metrics using DAX for advanced calculations.
In this project, I analyzed customer behavior to understand the factors contributing to churn in a retail bank. Using demographic and transactional data from 10,000 customers, I explored patterns across age groups, account balances, credit scores, and product usage...
Geospatial analysis dashboard assessing power infrastructure risks for healthcare facilities in Rwanda using ArcGIS and spatial analytics
This dashboard explores means of transportation, commute times, and total workers for one segment of the population, essential workers.
A spatial analysis of Austin’s health industry, highlighting home health businesses, health occupations, sales density, and elderly/disabled populations to reveal insights for policy, investment, and service delivery.
Advanced analytics, machine learning, and statistical modeling to extract insights from complex datasets.
Developing and deploying intelligent systems using various machine learning paradigms.
Building scalable data solutions and deploying machine learning models in cloud environments.
Decisions in an End-to-End Streaming Data Engineering Project (Azure Databricks vs Azure Functions). As data engineers, it’s easy to get caught up in the excitement of solving technical challenges:
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This policy brief explores how pragmatic AI approaches can help African utilities and policymakers reduce energy losses through targeted, data-driven actions,
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Join me in this comprehensive guide filled with practical tips, insightful hints, and clear guidance to help you confidently navigate this dynamic field.
Read MoreI'm open to new opportunities, collaborations, and discussions about data, technology, and social impact. Feel free to reach out!
enshuti01@gmail.com
+250 785 547 693
Kigali, Rwanda