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Data Analyst with 2+ years in Business Intelligence & Data Analysis
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Results-driven Data Analyst and Business Intelligence professional with demonstrated expertise in transforming complex, raw datasets into actionable insights that drive strategic business decisions. Proficient in Python (Pandas, NumPy, Matplotlib, Scikit-learn), SQL, Power BI (DAX, Power Query), Microsoft Excel (Power Pivot), and SPSS for statistical analysis. Proven track record of designing end-to-end analytical pipelines, building interactive BI dashboards, and delivering data-driven recommendations across sales, inventory, and operational domains. Experienced Data Analysis Instructor with a record of curriculum development and mentoring. Adept at communicating complex findings to both technical and non-technical stakeholders.
University of Ibadan
Bachelor of Science · Economics
June 1, 2019 – May 1, 2024
Atria Analytics Limited
Data Analyst
December 1, 2024 – April 1, 2025
Ibadan North, Oyo State, Nigeria
VAA Global (E-Learning)
Data Analysis Instructor (Remote)
June 1, 2024 – Present
Lagos Island, Lagos State, Nigeria
Delux Coding School
Data Analysis Instructor (Hybrid)
November 1, 2023 – February 1, 2026
Ibadan North, Oyo State, Nigeria
Inventory Intelligence Analysis Dashboard
January 1, 2026 – January 1, 2026
Problem: A growing retail and distribution company managing a large multi-warehouse inventory lacked structured visibility into stock health, reorder risk, and supplier efficiency — resulting in reactive decision-making, capital lock-in, and margin erosion. Built a two-page Excel-based Inventory Intelligence Dashboard using Power Pivot and DAX to transition the organization from reactive to proactive inventory management. Developed DAX-powered KPIs covering inventory sufficiency rates, reorder risk exposure, restocked volume, and average unit cost — providing both executive-level and procurement-level visibility in a single reporting framework. Identified seasonal restocking demand patterns and warehouse-level pressure points, enabling accurate procurement scheduling, resource allocation, and supply chain risk mitigation. Conducted supplier cost-efficiency and category-level capital concentration analysis, equipping procurement managers with the data intelligence needed for contract renegotiation and strategic inventory rebalancing.
View ProjectStudents Data Cleaning & Preprocessing Pipeline
January 1, 2026 – January 1, 2026
Problem: Raw education datasets are frequently unusable for analysis due to inconsistent formatting, duplicate records, mixed data types, and missing values — leading to misleading KPIs and unreliable reporting. Designed and implemented a structured, reproducible data cleaning pipeline in Python (Pandas, NumPy) that resolved all critical data quality issues and produced a fully analysis-ready dataset. Applied systematic data wrangling techniques including duplicate detection and removal, dtype enforcement, missing value imputation, mixed-format date standardization, and categorical field normalization — ensuring data integrity across all fields. Documented every transformation decision with business justification and trade-off reasoning, demonstrating production-level data engineering standards and making the pipeline fully reproducible for future datasets.
View ProjectRestaurant Sales Performance & Order Analytics Dashboard
January 1, 2026 – January 1, 2026
Problem: Restaurant lacked a centralized analytics solution, making it impossible to identify underperforming menu items, monitor revenue trends, or make evidence-based operational decisions. Designed an end-to-end interactive Power BI dashboard that transformed fragmented transactional data into a unified business intelligence platform for executive decision-making. Performed category-level and item-level sales analysis using DAX custom measures and calculated KPIs, revealing high-impact revenue drivers and hidden underperformance patterns - enabling data-driven menu optimization and targeted marketing strategy. Engineered Power BI Bookmark interactivity to surface top- and bottom-performing products dynamically, eliminating manual report generation and reducing time-to-insight for stakeholders across sales, marketing, and operations. Delivered a presentation-ready, self-service analytics experience through page navigation design, improving accessibility for non-technical decision-makers and enabling faster, more confident business planning.
View ProjectE-Commerce Sales & Payment Performance Analysis
April 1, 2025 – April 1, 2025
Performed end-to-end analysis of e-commerce data revealing trends in sales performance, payment methods, and transaction status across regions using Power BI and DAX. Identified regional sales disparities and payment bottlenecks, providing stakeholders in marketing, finance, and operations with data-driven decision support.
View ProjectNova Retail Solutions – Retail Sales Analysis
February 1, 2025 – February 1, 2025
Delivered actionable insights on high-performing customer segments and underutilized sales periods, supporting smarter marketing and inventory strategies. Applied advanced Excel techniques including Power Pivot, pivot tables, and dynamic charts; enabled a 15-20% improvement in retail decision-making accuracy.
View ProjectData-Driven Sales & Profitability Analysis
January 1, 2025 – January 1, 2025
Problem: The organization collected large volumes of transactional sales data but lacked the analytical framework to translate it into strategic insights — leaving pricing inefficiencies, customer concentration risks, and seasonal demand patterns undetected. Conducted a full exploratory data analysis and profitability assessment using Python (Pandas, NumPy, Matplotlib) to close the gap between raw data and business intelligence. Engineered a custom profit classification feature to segment transactions by margin level, uncovering widespread low-profit exposure across major product categories — providing the evidence base for urgent pricing strategy and cost structure review. Identified geographic sales concentration, high-value customer segments, and payment method preferences through multi-dimensional analysis, enabling targeted marketing spend, customer retention programs, and checkout optimization strategies. Translated analytical findings into a structured set of strategic business recommendations covering pricing optimization, customer lifetime value improvement, geographic expansion, and seasonal inventory planning — demonstrating the full data-to-decision workflow.
View ProjectSQL Database Design for Business Operations
January 1, 2025 – January 1, 2025
Designed and implemented a normalized relational database in SQL Server with 8 interconnected tables covering user management, order processing, payments, and shipments. Optimized schema for analytics and scalability, enabling real-time order/shipment tracking and seamless extraction of sales, inventory, and customer insights.
View ProjectPharmaceutical Sales Analysis
November 1, 2024 – November 1, 2024
Built a dynamic Power BI dashboard delivering comprehensive visibility into revenue streams, product performance, and manager efficiency across business units. Conducted target vs. actual comparisons on product classes and managerial output; strategic insights contributed to a 40% increase in sales performance. Transformed complex data into executive-ready visual stories using advanced DAX calculations, custom KPIs, and interactive dashboards.
View ProjectData Analyst Associate
DataCamp
May 1, 2025 – Present
Data Analytics Virtual Simulation Internship
KPMG AU
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering retail, e-commerce, pharmaceutical sales, and inventory management, indicating adaptability to various business domains. Their experience as an instructor suggests a collaborative and knowledge-sharing mindset. The projects emphasize problem-solving and delivering actionable insights, aligning with a results-oriented culture. However, the lack of open-source contributions or community involvement beyond instruction limits the assessment of broader cultural engagement.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and data storytelling skills through their project descriptions. Their experience as an instructor also highlights curriculum development and stakeholder communication abilities, which are crucial for operational fit in a data analyst role. The projects show a clear understanding of translating data into business recommendations.