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
Detail-oriented and analytical graduate with a Bachelor of Science in Chemistry and hands-on experience in data analysis, reporting, and business intelligence. Proficient in Excel, SQL, Power BI, and Python for data cleaning, analysis, and dashboard development. Demonstrated ability to analyse datasets, identify trends, and translate data into actionable insights.
Lagos State University (LASU)
Bachelor of Science (B.Sc.) · Chemistry (Education)
N/A – June 30, 2025
Bracken Media Solution (Golden Year)
Social Media Manager
November 1, 2025 – December 1, 2025
Ikeja, Lagos State, Nigeria
Eternal Kayleb IT & Computer Institute
Computer Operator / Administrative Assistant
January 1, 2023 – December 1, 2025
Lagos Island, Lagos State, Nigeria
AI Assistant Usage in Student Life — Data Analysis Project (SQL)
June 24, 2026 – Present
Analyzed 10,000+ usage sessions to evaluate task completion and user retention across academic disciplines. Identified a 29% first-use drop-off rate and spearheaded usability enhancements to bridge gaps in the first-time user experience. Pinpointed a critical 72% failure rate in research tasks, driving the technical requirements for improved AI-assisted citation and academic search tools. Correlated low satisfaction scores among undergraduates to a lack of level-specific support, indicating the need for simplified UI features. Leveraged usage data (31% of total volume) to advocate for and design structured writing feedback tools, addressing a 52% failure rate in drafting tasks.
Alta Vista Hotel Customer Feedback Dashboard — Excel
June 24, 2026 – Present
Systematized the cleaning and analysis of raw customer feedback in Excel, converting unstructured data into actionable KPIs for service quality and satisfaction. Engineered a dynamic Excel dashboard utilizing Pivot Tables and advanced charting to visualize performance trends, reducing time-to-insight for leadership. Translated complex datasets into executive summaries, directly informing service optimization strategies and long-term business growth initiatives.
New York City Airbnb Data Analysis — SQL & Power BI
June 24, 2026 – Present
Executed SQL queries to clean and structure high-volume NYC Airbnb datasets, ensuring data accuracy across 50,000+ listings. Engineered a multi-page Power BI dashboard to map neighborhood performance, identifying high-yield areas and correlating seasonal fluctuations with occupancy rates. Synthesized review sentiment and pricing data to recommend dynamic pricing models, targeting a balance between maximized RevPAR (Revenue Per Available Room) and user satisfaction.
Data Analytics for Professionals
IOTBTECH
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI assistant usage analysis to hotel customer feedback and Airbnb data, demonstrates a broad interest in applying data analysis across different domains. While the professional experience is not directly in data analysis, the projects showcase initiative and self-learning, which are positive indicators for cultural fit in a dynamic, growth-oriented environment. The 'Chemistry (Education)' background, combined with a 'Data Analytics for Professionals' certification, suggests a proactive approach to career transition and skill acquisition. However, the lack of direct industry experience in data analysis roles might require a more structured onboarding to align with specific organizational cultures and workflows.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem Solving, Attention to Detail, Communication, Teamwork, Time Management, and Adaptability. These are highly relevant for a Data Analyst role, indicating a good operational fit for roles requiring detailed analysis, collaborative problem-solving, and clear communication of findings. The administrative assistant experience also suggests an ability to manage structured records and follow procedures, which is beneficial for data governance.