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Data Analyst with 1+ years in SQL & Power BI
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Data Analyst with hands-on experience collecting, analysing, and interpreting complex datasets to surface trends, patterns, and growth opportunities that support smarter business decisions. Proficient in SQL, Excel, Python (pandas, NumPy), and Power BI — with a track record of building reports and dashboards that give teams clear, actionable visibility of performance. Strong attention to detail and commitment to data accuracy and quality across analytical systems. Effective communicator: experienced presenting data-driven recommendations to both technical and non-technical stakeholders and collaborating cross-functionally to drive business improvement.
Jomo Kenyatta University of Agriculture and Technology (JKUAT)
BSc Electronic and Computer Engineering · Electronic and Computer Engineering
August 1, 2019 – June 30, 2025
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Data Quality Monitoring System
June 27, 2026 – Present
Automated tool scanning Excel datasets for missing values, duplicates, invalid formats, and schema errors — generates structured quality reports to ensure data accuracy across systems before analysis or reporting.
View ProjectCustomer Churn Analysis & Reporting
June 27, 2026 – Present
Interpreted complex telecom customer data to identify churn trends; produced SHAP-based reports translating analytical findings into clear, actionable retention strategy recommendations for business stakeholders.
View ProjectOperational Efficiency KPI Dashboard
June 27, 2026 – Present
Built an automated analytics platform tracking multiple KPIs (Efficiency Score, Productivity Index, Trend Score, Performance Rating) with Power BI reporting, anomaly alerting, and data quality validation — giving leadership accurate real-time performance visibility.
View ProjectSales Forecasting & Business Insights Dashboard
June 27, 2026 – Present
Collected and analysed 4 years of retail data; identified seasonal and regional trends; built segment-level forecasts with a Power BI dashboard for interactive business exploration and data-driven commercial recommendations.
View ProjectCustomer Segmentation Analysis
June 27, 2026 – Present
Analysed customer demographic and financial data to identify behavioural patterns and growth segments; delivered actionable cohort-level recommendations for marketing and commercial decision-making.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in practical data analysis applications across various domains (retail sales, operational efficiency, customer behavior). Their current role as 'Data Analyst & Automation Engineer' and previous internships align well with the target role, indicating a clear career path and commitment to the field. The breadth of tools and techniques used in personal projects (Flask, FastAPI, Git, PostgreSQL, Scikit-learn, SHAP) shows initiative and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic data team. The education in Electronic and Computer Engineering provides a solid technical foundation.
Soft Skills & Operational Fit
The candidate's experience as Vice President of Education at JKUAT Toastmasters Gavel Club suggests strong communication and presentation skills, which are crucial for a Data Analyst to convey insights to non-technical stakeholders. Their project descriptions highlight a focus on delivering 'decision-oriented' visibility and 'actionable recommendations,' indicating a business-oriented mindset. The emphasis on data quality and accuracy across multiple roles also points to a detail-oriented and responsible operational fit.