Adeleye Adepoju

Designed a relational data model and dashboards to track restaurant orders, revenue, profitability, and peak periods. Added views of customer purchasing behavior to support operational and commercial decisions. Automated reporting outputs to make recurring management updates faster and more consistent.

Used SQL querying and data modeling to analyze sales performance for laptops and accessories. Evaluated product attributes such as processor ratings, storage trends, and high-demand items. Produced BI reporting to support inventory planning and highlight opportunities for sales improvements.

Analyzed customer purchasing behavior across regions, demographics, and product categories to uncover revenue and spending patterns. Built an interactive dashboard for tracking key sales indicators and identifying sales opportunities. Focused on making customer trends easy to explore for decision-makers through BI-style visuals and KPIs.

Built and maintained Power BI and Excel dashboards for operations, productivity, customer engagement, and leadership KPI reporting. Automated weekly and monthly performance reporting to reduce manual effort and speed up decision-ready insights. Cleaned, validated, and modeled large datasets to improve reporting accuracy and consistency. Partnered with cross-functional teams to translate business questions into SQL and BI reports, reducing turnaround time for ad-hoc analysis.

Delivered analytics projects including customer analysis, sales performance reporting, and executive KPI dashboards for business stakeholders. Conducted exploratory analysis and statistical modeling on large datasets to identify customer and revenue trends. Designed Power BI dashboards with interactive visuals to improve stakeholder understanding of performance metrics. Standardized data cleaning and transformation workflows using Excel, SQL, and Python to reduce recurring data quality issues.

Reviewed customer and transaction datasets for quality issues such as duplicates, inconsistencies, missing values, and outliers. Built Power BI dashboards and customer segmentation views to identify high-value groups and related revenue opportunities. Communicated analytical findings into business recommendations to support targeted marketing and retention prioritization.

Analyzed campaign, customer survey, website, and social media data across multiple digital campaigns to measure engagement and conversion patterns. Produced Excel and Power BI performance reports to improve reporting efficiency and clarity of marketing ROI and acquisition trends. Identified audience and content drivers that informed segmentation and messaging, supporting measurable improvements in engagement.

Extracted, cleaned, and analyzed learner and operational datasets using SQL and Excel to answer stakeholder reporting requests. Built KPI reports covering attendance, training performance, engagement, and operational efficiency. Improved dataset consistency using validation checks, duplicate detection, and standardized reporting templates for easier management access.