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Data Analyst with 3+ years in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in Excel, SQL, Python, and Power BI, specializing in transforming raw data into actionable business insights. Proven ability to clean, analyse, and visualize data to identify trends, improve performance, and support decision-making. A strong background in frontend development enhances the ability to present insights clearly and effectively.
Federal University of Technology, Minna
B.Tech · Quantity Surveying
August 1, 2022 – June 30, 2022
Enviable Transport Nig. Ltd
Tech Support & Frontend Developer
January 1, 2024 – Present
Nigeria
Rhip Factory Nigeria
Frontend Developer Intern
January 1, 2023 – July 1, 2023
Nigeria
Sales Performance Analysis (Power BI)
June 1, 2026 – Present
Built an interactive dashboard to analyze sales trends across regions and products. Identified top-performing products and low-performing regions. Provided insights for revenue optimization and decision-making.
Sales Performance Analysis (SQL)
June 1, 2026 – Present
Queried datasets to calculate revenue, averages, and customer trends. Used joins and aggregations to uncover insights. Analyzed customer purchasing behavior.
Sales Performance Analysis (Excel)
June 1, 2026 – Present
Cleaned and structured raw data. Created pivot tables and KPIs. Highlighted monthly sales trends.
Exploratory Data Analysis (Python)
June 1, 2026 – Present
Performed EDA using Pandas and visualization tools. Handled missing values and cleaned datasets. Visualized patterns for insights.
Data Warehousing & Querying (SQL)
June 1, 2026 – Present
Worked with structured datasets simulating warehousing concepts. Designed queries to extract and transform data. Improved understanding of data relationships.
Full stack React Development
Coding Revolution
June 1, 2026 – Present
Complete Data Analyst Bootcamp
Udemy
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and self-driven learning in data analytics, which is a positive indicator for cultural fit in a data-driven environment. However, the professional experience is primarily in frontend development and tech support, which, while providing some transferable skills, does not directly align with a dedicated Data Analyst role. The candidate's education in Quantity Surveying is also not directly related to data analytics, suggesting a career transition. This indicates a need for further assessment on how the candidate integrates into a pure data analytics team culture.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, and team collaboration as soft skills. The project descriptions indicate an ability to work with data to solve business problems and present findings, which aligns with the operational needs of a Data Analyst role. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.