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Data Analyst with less than a year in SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with demonstrated expertise in SQL, Microsoft Excel, and Power BI, delivering end-to-end data solutions. Skilled at transforming raw, multi-thousand-record datasets into executive-ready dashboards and actionable insights that directly inform strategic decisions. Adept at applying advanced analytical techniques including window functions, trend analysis, and KPI modelling, to uncover patterns that drive measurable business outcomes.
ALX Africa
Data Analytics
N/A – Present
Kenya Medical Training College (KMTC)
Diploma in Community Health · Community Health
N/A – June 30, 2025
Netflix Data Analysis
June 18, 2026 – Present
Analysed 7,000+ Netflix titles to surface content distribution trends, genre performance, and multi-year release patterns that inform content acquisition strategy. Engineered advanced SQL queries using window functions (RANK, LAG) to quantify year-over-year growth rates and identify momentum shifts in content categories. Reduced dataset inconsistencies by standardizing raw metadata fields through systematic data cleaning and transformation pipelines. Built interactive Power BI dashboards featuring drill-through filters and dynamic KPIs, increasing insight accessibility for non-technical stakeholders. Identified the top 5 high-performing genres and mapped seasonal release trends, providing a data foundation for evidence-based content strategy recommendations.
E-Commerce Sales Analysis
June 18, 2026 – Present
Processed and analysed 10,000+ sales transactions to map customer behaviour patterns, purchase frequency, and product performance across multiple categories. Leveraged SQL aggregations and trend analysis across multiple business dimensions (time, geography, product line) to produce a 360-degree view of sales performance. Designed Power BI dashboards tracking live sales performance, revenue trends, and conversion metrics — providing a single source of truth for business reporting. Pinpointed top-revenue products and seasonal demand peaks, generating insights that support data-driven inventory and promotional planning.
Healthcare Data Analysis
June 18, 2026 – Present
Analysed 5,000+ patient records to identify demographic patterns, service utilization gaps, and outcome trends across healthcare delivery dimensions. Executed comprehensive data cleaning and pre-processing that reduced duplicate and inconsistent records, significantly improving dataset reliability for downstream analysis. Authored optimized SQL queries with multi-table joins and aggregations to extract patient flow insights from complex, normalized database structures. Delivered Power BI dashboards presenting healthcare delivery KPIs and patient outcome trends, enabling more informed operational planning.
Cultural Fit Analysis
The candidate's project diversity (entertainment, healthcare, e-commerce) indicates a broad interest in applying data analytics across different industries, which suggests adaptability. The focus on delivering actionable insights aligns well with a results-oriented culture. The self-driven learning attribute is a positive indicator for cultural fit in a dynamic environment. However, the lack of professional experience means there's no direct evidence of fitting into a corporate culture or collaborating within a team structure.
Soft Skills & Operational Fit
The candidate demonstrates self-driven learning and strong analytical and problem-solving skills through their personal projects. Their attention to detail and focus on data accuracy are critical for an operational data analyst role. The project descriptions indicate an ability to translate complex data into insights for non-technical stakeholders, suggesting good communication potential. However, without formal work experience, direct evidence of team collaboration or handling workplace stress is not available.