I turn complex data into clear business decisions — using SQL, Python, Power BI, and Excel. I also build fast, modern web interfaces with React and Next.js. Based in Kigali, Rwanda 🇷🇼
I'm a Data Analyst and Business Analyst with a background in software engineering, currently working at Centrika Ltd in Kigali, Rwanda. I specialize in designing SQL-based data analysis workflows, building interactive Power BI dashboards, and automating reporting pipelines with Python — turning raw operational data into insights that guide real decisions.
Before pivoting fully into data, I worked as a frontend developer and team lead at Rwanda TVET Board, where I led software development teams and built data-integrated systems for monitoring and reporting. That combination of engineering and analytics gives me a rare ability to understand both the technical data infrastructure and the business questions it needs to answer.
I'm driven by a passion for using data to improve public services, healthcare systems, and operational efficiency across Africa. I believe the right insight, delivered clearly, can change how an organization operates. Whether it's a KPI dashboard for an operations team or an automated monthly report, I build things that people actually use.
I'm fluent in English and Kinyarwanda, comfortable working with cross-functional teams, and always learning — currently deepening my Power BI skills and exploring machine learning applications for business forecasting.
From raw data to business insight, and from wireframe to deployed product — I cover the full spectrum.
I design end-to-end analysis workflows using SQL and Python — from data extraction and cleaning to aggregation, trend analysis, and KPI reporting. I deliver insights that are clear, reproducible, and actionable.
I build interactive dashboards in Power BI and Streamlit that give decision-makers a real-time view of performance. I design for clarity — so non-technical stakeholders can read and act on the data.
I write Python scripts that automate repetitive reporting tasks — scheduled data extraction, cleaning, transformation, and delivery. I've automated workflows that previously took analysts hours every week.
With 2+ years in React, Next.js, and TypeScript, I build performant and accessible web applications. I understand UX, data visualization on the web, and how to connect front-end products to data backends.
The full toolkit I use across data analytics and frontend development — all arranged the way you'd expect.
Python
SQL
Pandas
NumPy
Matplotlib
Seaborn
Streamlit
Power BI
Excel
TensorFlow
React
Next.js
TypeScript
JavaScript
Tailwind
HTML5
CSS3
Node.js
MongoDB
Redux
Svelte
Flutter
Git
GitHub
Figma
Postman
Vercel
End-to-end projects covering SQL analysis, Python EDA, Excel automation, and interactive BI dashboards — built to demonstrate real business analyst skills.
A full SQL-based business intelligence project analyzing 2,000+ sales transactions across regions, customer segments, and product categories. Designed to simulate the kind of analysis a DA does weekly at a retail or operations company.
RANK() OVER(PARTITION BY), running totals, cumulative sumsA comprehensive exploratory data analysis on a retail sales dataset. Covers the full analyst workflow — from raw data profiling and cleaning to statistical analysis and business storytelling through visualization.
A Python automation script that replaces hours of manual Excel work — it reads sales data, performs analysis, and generates a fully formatted, publish-ready multi-sheet Excel workbook with one command.
A fully interactive BI dashboard built with Streamlit and Plotly — the kind of tool a business analyst would hand to operations managers. Filters drive every chart on the page in real time.
Professional roles across data systems engineering, business analysis, and full-stack development in Rwanda.
A snapshot of what I've delivered across my professional work and personal projects.
Years of professional experience across data analytics and software engineering roles
End-to-end data analytics projects covering SQL, Python, Excel, and interactive dashboards
Organizations where data systems and dashboards I built are actively used in operations
Technologies mastered spanning data science, frontend development, and data infrastructure
If you're looking for someone who can write complex SQL, build dashboards that stakeholders
actually use, automate your reporting workflows, and communicate findings clearly to
non-technical teams — I'd love to hear from you.
I'm open to full-time positions, contract roles, and remote opportunities.
Don't hesitate to reach out — I respond within 24 hours.