Olukunle Oyewale

Entry level Data Analyst with a B.Sc. in Mathematics and hands-on portfolio experience in data cleaning, exploratory analysis, KPI development, and interactive Power BI reporting. Uses Python, Pandas, SQL, DAX, Power Query, and Excel to turn raw data into structured analysis. Projects include analysis of 2,800+ Jumia smartphone listings and a restaurant inventory dashboard built around 100 days of data.

Also builds formula-driven Excel and Google Sheets templates to support organized reporting and routine business workflows.

Nigerian Smartphone Market Analysis at Jumia (2026-05 – 2026-05)

• Analyzed 2,800+ Jumia smartphone listings by scraping, cleaning, and standardizing product data with python and pandas, creating a structured dataset for market analysis.
• Improved product level analysis by engineering RAM, storage, OS, color, screen size, pricing, rating, and review attributes for consistent comparison across listings.
• Improved product ranking reliability by developing a DAX based Credibility Score that combines with review volume rather than relying on star ratings alone
• Enable faster market exploration by building a 3-page Power BI dashboard covering market overview, brand performance, and product level analysis with interactive filters and product link navigation

Restaurant Inventory Intelligence Dashboard at Personal Project (2026-08 – 2026-08)

• Evaluated inventory performance across 100 days by analyzing stock value, usage, waste, stock coverage, supplier lead times, and replenishment risk in power BI.
• Improved replenishment monitoring by developing DAX measures for Days of Stock Cover, Waste %, and estimated waste value, giving visibility into inventory health.
• Identified potential stock out risks by comparing Days of Stock Cover against supplier lead time and classifying items requiring replenishment attention.
• Supported inventory decision making by building a 3-page Power BI dashboards Covering Inventory Overview, waste analysis, and supplier/replenishment priorities.

Manufacturing Process Evaluation at DataCamp/Cedars X (2026-03 – 2026-03)

• Used joins, CTEs, window functions, and subqueries to evaluate manufacturing performance metrics and identify operational bottlenecks.
• Translated query-level findings into process-improvement recommendations for manufacturing stakeholders.

Sales Data Workflow Debugging at DataCamp/Cedars X (2026-01 – 2026-01)

• Diagnosed and fixed data-quality issues in a broken sales data workflow through validation, cleaning, and exploratory analysis.
• Improved downstream reporting reliability by resolving root-cause data integrity issues rather than patching symptoms.

HR Analytics & E-commerce Dashboards at DataCamp/Cedars X (2025-11 – 2025-11)

• Built two additional interactive Power BI dashboards analyzing (1) workforce trends and performance indicators from employee data, and (2) sales, product, and customer trends from e-commerce data both using Power Query transformations and DAX-based KPI reporting.

B.Sc. - Mathematics - Obafemi Awolowo University (2018 - 2024)