
Kehinde Omoyayi
@kehindeomoyayi
I turn operational and commercial data into dashboards, forecasts, and measurable business improvements.
What I'm looking for
I've delivered data-driven improvements across distribution, public-sector statistics, and call-center operations, using SQL, Python, Power BI, Tableau, and statistical analysis to turn complex data into decisions.
At Shaaok Distribution Company, I identified more than NGN5M in revenue opportunities across 300,000+ transactions and reduced inventory stockouts by 18% through predictive forecasting. I also supported NGN7M in marketing-budget analysis with an executive Power BI dashboard and contributed to a 12% improvement in net income through SKU profitability analysis and ANOVA.
At the Bureau of Statistics, Ogun State, I identified more than NGN500,000 in financial irregularities with Python, SQL, and R, while automating ETL workflows to cut manual processing by 40%. I also built Tableau dashboards that reduced reporting time by 25% and supported more than 20 statistical studies and reports.
Previously, I saved NGN2M in campaign costs at a sales and marketing call center, reduced lost calls by 15%, and increased conversion by 12% through dashboarding, customer-behavior analysis, and A/B testing. My independent work includes retail, HR, call-center, and Django-based student-record analytics platforms.
Experience
Work history, roles, and key accomplishments
Business Intelligence Analyst
Shaaok Distribution Company
Oct 2024 - Present (1 year 11 months)
Identified over NGN5M in revenue opportunities by analyzing 300,000+ transactions across 10 branches. Reduced inventory stockouts by 18% through predictive inventory forecasting and supported marketing budget reallocation with executive Power BI dashboards.
Data Analyst Intern
Bureau of Statistics, Ogun State
Jan 2024 - Aug 2024 (7 months)
Developed anomaly detection analysis using Python, SQL, and R to identify financial irregularities. Automated data preparation and ETL workflows, reducing manual processing time by 40% while maintaining 95% data accuracy.
Data Analyst
Sales & Marketing Call Center
Mar 2023 - Dec 2023 (9 months)
Built interactive dashboards analyzing 200,000+ calls, saving NGN2M in campaign costs. Conducted A/B testing to increase conversion by 12% and performed geographic segmentation to improve customer satisfaction by 10%.
Education
Degrees, certifications, and relevant coursework
Federal University of Agriculture, Abeokuta
Bachelor of Science, Statistics
2022 - 2026
Activities and societies: Academic Research: Immunization Coverage Across West Africa (1990–2026)
Pursuing a B.Sc. in Statistics with academic research on immunization coverage across West Africa, applying time series analysis, ANOVA, and regression modeling.
Microsoft
Microsoft Certified: Power BI Data Analyst Associate (PL-300), Data Analytics
Certified as a Power BI Data Analyst Associate (PL-300).
Google Data Analytics Professional Certificate, Data Analytics
Completed the Google Data Analytics Professional Certificate.
Tableau
Tableau Desktop Specialist, Data Visualization
Certified as a Tableau Desktop Specialist.
Coursera
Python for Data Analysis, Data Analysis
Completed courses including Python for Data Analysis, Financial Analysis Fundamentals, and several Google Data Analytics courses.
Coursera
Financial Analysis Fundamentals, Financial Analysis
Completed the Financial Analysis Fundamentals course.
Coursera
Prepare Data for Exploration, Data Analytics
Completed the Google Data Analytics course 'Prepare Data for Exploration'.
Coursera
Foundations: Data, Data Everywhere, Data Analytics
Completed the Google Data Analytics course 'Foundations: Data, Data Everywhere'.
Coursera
Ask Questions to Make Data-Driven Decisions, Data Analytics
Completed the Google Data Analytics course 'Ask Questions to Make Data-Driven Decisions'.
Availability
Location
Authorized to work in
Portfolio
kehindeomoyayi.pythonanywhere.comSalary expectations
Job categories
Skills
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