Data Science with 6+ years in Data Analytics & Business Intelligence
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Analytical and results-driven with a proven track record in data analytics, machine learning, and predictive modeling. Excel at interpreting complex datasets to drive strategy and achieve organizational goals. Skilled at deploying data-driven solutions to drive efficiency, accuracy, and actionable insights. Seeking to leverage expertise in a Data Analyst role to contribute to data-informed social development initiatives.
Maseno University
Bachelor Of Science · Computer Science
August 1, 2017 – June 30, 2021
Mac Springs Limited
Data Analyst
January 1, 2025 – Present
Nairobi, Nairobi, Kenya
Career Connections Limited
Business Analyst
May 1, 2024 – May 1, 2025
Nairobi, Nairobi, Kenya
Sybyl Kenya Limited
Trainee - Business Intelligence Developer
January 1, 2022 – December 31, 2024
Nairobi, Nairobi, Kenya
Sybyl Kenya Limited
Senior Business Intelligence Developer
January 1, 2022 – December 31, 2024
Nairobi, Nairobi, Kenya
Sybyl Kenya Limited
Junior Business Intelligence Developer
January 1, 2022 – December 31, 2024
Nairobi, Nairobi, Kenya
Sybyl Kenya Limited
Intern - Business Intelligence Developer
January 1, 2022 – December 31, 2024
Nairobi, Nairobi, Kenya
Nairobi Women's Hospital
Information Systems Intern
January 1, 2021 – November 1, 2021
Nairobi, Nairobi, Kenya
Business Intelligence Deployment and Implementation
March 1, 2022 – Present
Implemented BI Tool: Successfully led the end-to-end implementation of (Qlik and Power BI) Business Intelligence tools, integrating it with SAP, Oracle, Odoo, T24, Scala, Navision, Kranium, Palladium, Nex. Data Mining & Analysis: Conducted extensive data mining using Oracle, uncovering insights that increased operational efficiency by 20%. Optimized Data Retrieval: Created and optimized database views, reducing data retrieval time by 40% and ensuring 100% data accuracy in reports. Project Management & Requirements Gathering: Spearheaded the project, gathering requirements from stakeholders and developing a project management plan that resulted in a 25% reduction in project delivery time. Data Architecture & Modeling: Designed and implemented data architecture and models, improving data processing efficiency by 30% and enhancing data reporting capabilities. Enhanced Reporting: Developed and delivered customized reports, leading to a 50% increase in actionable insights generated for business leaders. User Training & Adoption: Trained over 50 users, achieving a 95% adoption rate of the new BI tool within the first three months post-implementation. Comprehensive Documentation: Authored technical and user documentation, reducing user onboarding time by 20%. ETL Process Management: Managed ETL processes, enabling seamless data integration from various sources and reducing data integration time by 30%. Data Governance: Established data governance practices, ensuring compliance with industry standards and maintaining data integrity. Performance Tuning: Optimized query performance, reducing data processing time by 25% and improving overall system efficiency. Stakeholder Collaboration: Collaborated with cross-functional teams to align BI solutions with business objectives, increasing stakeholder satisfaction by 15%.
Python for Data Science
IBM
June 1, 2026 – Present
Data Analysis with Python
IBM
June 1, 2026 – Present
Big Data 101
IBM
June 1, 2026 – Present
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Data Visualization with Python
IBM
June 1, 2026 – Present
Hadoop 101
IBM
June 1, 2026 – Present
Big Data Foundations
IBM
June 1, 2026 – Present
Spark Level 1
IBM
June 1, 2026 – Present
Spark Fundamentals I
IBM
June 1, 2026 – Present
Hadoop Foundations
IBM
June 1, 2026 – Present
Power BI Job Simulation
PWC
June 1, 2026 – Present
Python 101 for Data Science
IBM
June 1, 2026 – Present
Data Fundamentals
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across various companies (Exim Bank, Kenya Builders, Bank of Tanzania, etc.) and roles (Data Analyst, Business Analyst, BI Developer) suggests adaptability and a broad understanding of different business contexts. Their involvement in implementing BI solutions and establishing data governance practices indicates a proactive and structured approach, which would be beneficial for cultural integration. The breadth of skills and certifications also points to a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as leadership, teamwork, problem-solving, and communication, as evidenced by their project management and user training responsibilities. Their experience in stakeholder collaboration and requirements gathering indicates a good operational fit for roles requiring cross-functional interaction and business alignment. The ability to create data storytelling reports also highlights effective communication of complex insights.