Open to opportunities

Divine Isingizwe

@divineisingizwe

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Data analyst skilled in big data analytics, BI dashboards, and machine learning for actionable insights.

Rwanda

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What I'm looking for

I seek a data-focused role where I can build dashboards, deploy ML models, improve data architecture, and drive strategic, data-driven decisions in a collaborative team.

I am a data analyst with hands-on experience in big data analytics, ETL pipelines, and interactive dashboards. I have delivered executive-level insights using Power BI, Tableau, SQL, Google BigQuery, IBM Cognos, and statistical tools such as IBM SPSS to improve data quality and support strategic decision-making.

My background includes building ML-driven prototypes and production-ready analytics solutions — from a content-based tourist recommendation model to customer segmentation with K-Means — while contributing to data architecture, governance, and cross-functional collaboration.

Experience

Work history, roles, and key accomplishments

Student Counselor

Lovely Professional University

Jun 2023 - Aug 2025 (2 years 2 months)

Advised students on course selection, academic goals and career paths, supported orientation programs, and referred students to appropriate academic or mental health services.

Career Counseling Communication Stakeholder Engagement

Data Analyst

Sonarwa General Insurance Ltd

Jan 2025 - May 2025 (4 months)

Managed and streamlined insurance data pipelines and built real-time dashboards that monitored claims, premiums and operational KPIs to support executive decision-making and improve data governance.

Python SQL Google BigQuery Power BI Tableau Excel

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

Bachelor of Computer Applications, Big Data Analytics

2022 - 2025

Grade: 7.430 / 10

Activities and societies: Student Counselor (June 2023–Aug 2025), Student Ambassador, Vice President (Rwanda Community Listening/Abroad RCA)

Bachelor of Computer Applications (Big Data Analytics) program covering data visualization, big data analytics, database management, cloud computing, predictive analytics, and AI; completed with a CGPA of 7.430/10.