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Brilliant Kaya

@brilliantkaya

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My name is Brilliant Kaya ready to work with passion and integrity if given chance. Thanks

Kenya

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What I'm looking for

Data analytics, marketing, social media management, surveys and other.Ready to work on any job

*Brilliant*

*Contact Info:*

- Email: brianyegoo029@gmail.com

- Phone: +254 739 871 721

- LinkedIn: [your LinkedIn profile, if available]

*Summary:*

Motivated student at Nairobi University pursuing Computer Science, with a keen interest in data analysis and its applications in business and accounting. Eager to leverage analytical skills in a dynamic role.

*Education:*

- Bachelor's in Computer Science, Nairobi University, Kenya (in progress)

*Skills:*

- Data analysis

- Basic accounting principles

- Communication skills development

- Problem-solving

Experience

Work history, roles, and key accomplishments

Analyst

Coalition

Jan 2025 - Jun 2026 (1 year 5 months)

I Worked with a dynamic team at DataPro Analytics Hub, a coalition of industry experts driving business growth through data-driven insights. As a data analyst, I contributed to:
- Analyzing complex datasets to inform business strategies
- Developing actionable recommendations for stakeholders
Impact:*
- Supported data-informed decision-making
- Improved reporting efficiency
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Enhance Project Management Salesforce SQL Remote

Data Analyst

Coalition Kenya

Jan 2025 - Jun 2026 (1 year 5 months)

Analyzed complex datasets to identify trends and support business strategy development, delivering recommendations that guided stakeholder decisions. Improved reporting workflows for clearer business intelligence outputs and collaborated cross-functionally to maintain accuracy and consistency across datasets.

Python AWS Salesforce CRM Data Analysis Data Quality Stakeholder Management Project Management Cross Functional Collaboration

Education

Degrees, certifications, and relevant coursework

University of Nairobi

Bachelor's in Computer Science, Computer Science (Data Analytics)

Bachelor's in Computer Science with a focus on data analytics. Coursework emphasizes data analysis, programming, and practical application of analytical techniques.