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Oyewale olakunle peter

@oyewaleolakunlepeter

Data analyst working in Power BI, SQL, and Python who analyzed 2,800+ Jumia smartphone listings and built interactive market dashboards.

Nigeria

Message

On a personal project analyzing the Nigerian smartphone market, I scraped, cleaned, and standardized more than 2,800 Jumia listings using Python and pandas. I engineered product attributes to support consistent comparisons across listings.

I developed a DAX-based Credibility Score that accounts for review volume alongside star ratings, then built a three-page Power BI dashboard for market overview, brand performance, and product-level analysis.

For a restaurant inventory project, I analyzed stock value, usage, waste, stock coverage, supplier lead times, and replenishment risk. I created DAX measures and a dashboard to surface inventory health and items needing replenishment attention.

In DataCamp/Cedars X projects, I used SQL to evaluate manufacturing performance and identify bottlenecks, and used Python to diagnose data-quality issues in a sales workflow. I also built Power BI dashboards for workforce and e-commerce trends, using Power Query and DAX-based KPI reporting.

Experience

Work history, roles, and key accomplishments

Restaurant Inventory Intelligence Dashboard

Personal Project

Aug 2026 - Present (2 months)

Evaluated inventory performance across 100 days by analyzing stock value, usage, waste, stock coverage, supplier lead times, and replenishment risk in Power BI. Built a 3-page Power BI dashboard covering inventory overview, waste analysis, and supplier/replenishment priorities.

Power BI DAX Data Analysis Data Visualization Inventory Management

Nigerian Smartphone Market Analysis

Jumia

May 2026 - Present (5 months)

Analyzed 2,800+ Jumia smartphone listings by scraping, cleaning, and standardizing product data with Python and pandas. Built a 3-page Power BI dashboard with interactive filters and product link navigation.

Python Pandas SQL Power BI DAX Data Cleaning Web Scraping Data Visualization

Manufacturing Process Evaluation

DataCamp/Cedars X

Mar 2026 - Present (7 months)

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.

SQL PostgreSQL Join CTEs Window Functions Subqueries Data Analysis

Sales Data Workflow Debugging

DataCamp/Cedars X

Jan 2026 - Present (9 months)

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.

Python Data Cleaning Exploratory Data Analysis Data Validation

HR Analytics & E-commerce Dashboards

DataCamp/Cedars X

Nov 2025 - Present (11 months)

Built two interactive Power BI dashboards analyzing workforce trends and e-commerce sales, product, and customer trends using Power Query transformations and DAX-based KPI reporting.

Power BI Power Query DAX Data Visualization KPI Reporting