About
Highly analytical and results-driven Data Analyst with extensive experience leveraging SQL, Python, Excel, Power BI, and Tableau to translate complex datasets into strategic business insights. Proven ability to drive significant improvements in sales, customer retention, and operational efficiency by developing robust dashboards, conducting in-depth analyses, and optimizing data accuracy. Seeking to apply advanced analytical skills and a strong track record of quantifiable impact to support data-driven decision-making in a dynamic organization.
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Work
Moniepoint
Business Relationship Manager
Nwenewor & Sons Tech Solutions
Data Analyst
Jumia
Sales Consultant
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Certificates
Green Digital Skill
INCO Academy
Data Analytic Essential
CISCO
Certified Advanced Data Analytics and Visualization
NITDA
Certified SQL Associate
DataCamp
Certified Data Analyst Professional
DataCamp
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Education
Banking and Finance
Ebonyi State University
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Skills
Tools
SQL, Python, Pandas, NumPy, Excel, Power BI, Tableau
Visualization
Power BI, Tableau, Matplotlib, Seaborn
Analysis
KPI Dashboards, Financial Modeling, A/B Testing, Segmentation
Soft Skills
Data Storytelling, Communication, Critical Thinking, Time Management
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Projects
Survey Data Insights (Power BI)
Analyzed survey data to identify trends in salary, satisfaction, and skills, segmenting insights by demographics and roles for strategic insight.
COVID-19 SQL Analysis
Explored infection, vaccination, and mortality trends using SQL (CTEs, window functions) to uncover region-specific public health insights.
Sales Dashboard (Tableau)
Created an interactive Tableau dashboard to compare regional sales performance, highlight key metrics, and recommend sales strategy optimization.
Personal Loan Marketing Data Pipeline (Python)
Personal loans are a high‑margin product for banks, but only if marketing data is reliable and reusable. This Python pipeline cleans and standardizes a raw campaign extract (bank_marketing.csv) so the bank can load it into PostgreSQL and easily append future campaigns without rework. It enforces consistent schemas and data types, fixes common quality issues, and outputs three final, analysis‑ready CSVs.
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