Gisa Murera

Education Background

• MSc (Computer Science and Technology)
• BSc (Computer Science).

Profile

Gisa Murera is a Senior Data Scientist at the National Bank of Rwanda with a diverse portfolio of projects and interests in data science, machine learning, and financial technology.

Key highlights include:
1. Expertise: Specializes in Deep Learning, Machine Learning DevOps, Natural Language Processing (NLP), and financial data analysis.
2. Project Diversity:
• Developed a Shinylive R application for GitHub Pages deployment
• Worked on crop yield optimization using climate and agricultural data
• Created a dashboard for monitoring central bank communication sentiments on Twitter
• Developed air quality analysis tools and workshops
3. Technical Skills:
• Programming: Proficient in R and likely Python
• Tools: Experience with Shiny, Docker, and various data science libraries
• Web Technologies: Familiar with HTML, CSS, and web deployment
4. Research Interests: Active in climate change research, churn analysis, and Twitter analytics for financial institutions.
5. Open Source Contributions: Maintains several public repositories and contributes to forked projects, demonstrating collaboration and community involvement.
6. Teaching and Presentation: Created slides for AI and Coding Training using xaringan R platform, indicating skills in education and knowledge sharing.
7. Continuous Learning: Regularly updates and creates new projects, showing a commitment to staying current with technology trends.
8. Financial Sector Focus: Many projects are tailored to central banking and financial analysis, aligning with his role at the National Bank of Rwanda.
9. Data Visualization: Strong skills in creating dashboards and interactive visualizations for complex data sets.

Gisa’s GitHub profile showcases a professional who combines strong technical skills with practical applications in finance and data science, actively contributing to open-source projects and continuously expanding his expertise across various domains.