BYIRINGIRO Elie Yvan
Data analyst
Highest degree :
Masters
Field of study :
Data Analytics
Location :
Kigali,Rwanda
Citizenships :
Rwandan
Experience :
2 Year(s)
Countries :
Rwanda
Gender :
Male
Sectors :
Digital ICT Expert | Data Scientist (AI/ML) | Digital Healthcare Technologist | Cloud & Data Center Specialist
Data analyst intern
Egypt
Elevvo
September 2025
-November 2022
• Cleaned, transformed, and prepared datasets using SQL, Python, Excel, and Power Query to support accurate reporting and analysis. • Built automated data workflows that reduced manual processes and improved data consistency across reports. • Designed interactive dashboards and performance reports to support weekly operational decision-making. • Worked closely with stakeholders to understand reporting needs and translated them into practical data solutions. • Assisted in identifying data trends and generating insights to guide strategic recommendations.
Big Data analytics
Rwanda
Adventist University of Central Africa
October 2024
-Present
Relevant coursework Data Analytics, Python Programming, R for Data Science, Cloud Computing, Data Security, Information Systems
Deloitte Australia Data Analytics Virtual Job Simulation
Australia
Deloitte Australia
2024
• Performed data cleaning, preprocessing, and transformation on structured datasets to ensure data quality and accuracy. • Conducted exploratory data analysis (EDA) to identify trends, patterns, and anomalies for business insights. • Applied data visualization techniques to communicate analytical findings using professional reporting standards. • Interpreted data results to support evidence-based recommendations and operational decision-making. • Utilized analytical thinking to simulate real-world consulting scenarios and problem-solving workflows.
Python for Data Science
United States
Coursera
2023
• Developed proficiency in Python for data analysis, including data manipulation using NumPy and Pandas. • Performed data cleaning, preprocessing, and transformation to prepare datasets for analysis. • Conducted exploratory data analysis (EDA) and basic statistical analysis to extract meaningful insights. • Utilized data visualization libraries such as Matplotlib and Seaborn to present analytical results. • Implemented scripting workflows to automate data processing and improve analytical efficiency.
Data Analysis & Tools
Data Processing & Quality
Databases & Systems
Collaboration & Documentation
1 year