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Data Analyst with 2+ years in SQL & Power BI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience building end-to-end data solutions using SQL, Power BI, and Excel. Skilled in transforming raw data into structured datasets, performing analytical modeling, and delivering business insights through interactive dashboards. Strong focus on customer analytics, churn analysis, and data-driven decision making.
Osun State University
B.Eng. · Mechatronics Engineering
N/A – Present
The Home Emporium (Elegant Emporium)
Data & Business Analyst
January 1, 2024 – Present
India
Codveda Technologies
Data Analytics Intern
September 1, 2023 – December 1, 2023
India
Customer Churn Analysis & RFM Segmentation
January 1, 2026 – June 1, 2026
Developed an end-to-end customer churn analysis and RFM segmentation solution using SQL Server and Power BI, transforming raw transactional data into actionable business insights. Engineered a multi-stage SQL data pipeline, including raw staging and cleaned analytical layers, using TRY_CAST, filtering, and validation techniques to handle inconsistent data types and missing values. Designed a customer-level analytical dataset by aggregating transactional data into key metrics such as Total Orders, Total Revenue, and Recency. Defined and implemented a business-driven churn logic (Recency > 90 days) to identify at-risk customers in the absence of predefined labels. Built an interactive Power BI dashboard showcasing customer segmentation, revenue distribution, and churn insights, enabling data-driven decision-making. Applied RFM (Recency, Frequency, Monetary) analysis to segment customers into key groups (Champions, Loyal, At Risk, etc.) for targeted business strategies.
View ProjectSales Performance Analytics
January 1, 2025 – December 31, 2025
Built a dynamic sales performance analytics dashboard in Excel to track key business metrics including revenue, profit, and sales trends. Performed data cleaning and transformation using Excel functions and structured tables to ensure accurate and analysis-ready data. Designed interactive dashboards using PivotTables, Pivot Charts, and slicers to enable real-time filtering and business insights. Analyzed sales trends, top-performing products, and regional performance to support data-driven decision-making. Applied advanced Excel techniques such as conditional formatting and KPI indicators to enhance data visualization and usability.
View ProjectHuman Resources Analytics
January 1, 2024 – December 31, 2024
Designed and developed an end-to-end Human Resources Analytics solution to analyze employee workforce data and support strategic HR decision-making. Cleaned, validated, and transformed HR datasets for accurate analysis and reporting. Performed exploratory data analysis to identify workforce trends, employee retention patterns, and operational insights. Built interactive dashboards and KPI reports for HR performance monitoring and executive reporting. Applied data visualization techniques to communicate insights effectively to stakeholders. Utilized analytical and business intelligence tools to support workforce planning and organizational analysis.
Data Science & Data Analytics
Aptech Computer Education
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects cover diverse domains like customer churn, sales performance, and HR analytics, indicating a broad interest and adaptability to different business contexts. The use of a variety of tools (SQL, Power BI, Excel, Python, MongoDB) suggests a willingness to learn and apply different technologies. The current role as a Data & Business Analyst aligns well with the target role, demonstrating a clear career path in data analytics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, suggesting good problem-solving and project management skills. The experience in remote/hybrid environments points to adaptability and self-management. The focus on communicating insights effectively to stakeholders implies good presentation and collaboration skills. However, without direct assessment, these are inferred from project descriptions.