Peter Obikpe: Data Analyst | Quantifying Success with Precision
A Mathematics graduate (BSc(ED)), accomplished Data Analytics Instructor, and Google Certified Data Analyst, specializing in SQL, Power BI, and Python to transform complex data into measurable business outcomes.
My Value Proposition
I am a career-transitioning Data Analyst who couples deep analytical skills with a foundational BSc(ED) in Mathematics. This background ensures every insight I generate is statistically sound, logically consistent, and rigorously tested.
As a former teacher and current Data Analytics Instructor, I excel at communicating complex findings. My track record includes developing dashboards to track sales and profitability trends and using analysis to improve student test scores by 15%. I am skilled in data preprocessing, EDA, dashboard development, and workflow automation.
I hold a Google Professional Data Analytics Certificate and leverage my instructional experience to effectively teach complex concepts in Python, SQL, and Power BI, demonstrating not only technical expertise but also strong communication skills.
Technical Expertise & Core Stack
Programming & Querying
Analysis & Visualization
High-Impact Project Portfolio
Validating +127% YoY Profit Growth (Power BI)
Developed a robust Power BI dashboard using complex DAX Time Intelligence to confirm and analyze a +127% profit increase, isolating key product categories (04, 02, 01) driving the success.
QSR Sales Strategy & Profit Optimization (Chicken Republic)
Multi-branch sales analysis identifying seasonal trends (peak April, drop May) and comparing branch performance (Victoria Island highest, Yaba lowest) to inform supply chain and location strategy.
Global Internet Usage Data Integrity Audit (Python/Excel)
Scripted an ETL workflow to handle data quality, including using median imputation on numerical features and removing the highly incomplete "2023" column (72% missing data).
Socio-Economic Factors in Global Migration Trends
An Exploratory Data Analysis project applying statistical rigor to analyze the complex economic, social, and environmental drivers of migration, with a focus on Sub-Saharan Africa.
COVID-19 Global Health Tracking Analysis
A high-stakes data analysis project where large datasets were queried and processed using SQL and Excel to create visualizations tracking key public health metrics: cases, death rates, and vaccination progress.