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Data Analyst with 1+ years in Data Analysis & Business Intelligence
Energetic Data Analyst with 2 years experience turning raw operational data into commercially valuable insights for manufacturing and service-sector employers. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn) and advanced Excel, complemented by strong dashboard building, storytelling and stakeholder-management skills. Track record includes surfacing a 42% churn root cause, maintaining 90% daily production-target compliance and developing a loan-default model with 0.75 AUC. Adaptable, business-minded and eager to add value within tech, financial services or engineering environment.
University of Benin
Bachelor of Science · Production Engineering
August 1, 2015 – June 30, 2021
Horizon Merge Groups
Data Analyst
June 1, 2025 – Present
Abuja, Federal Capital Territory, Nigeria
Eternal PLC
Production Assistant
July 1, 2022 – March 1, 2023
Abeokuta South, Ogun State, Nigeria
SQL Sales Analytics (MySQL)
June 1, 2026 – Present
Wrote advanced queries to segment customers, uncovering 18 m upsell potential.
Loan-Default Prediction (Python)
June 1, 2026 – Present
Trained Logistic Regression, Decision Tree and Random Forest models on 255 k records; best model reached 0.75 AUC and correctly flagged 70% of defaulters.
Customer-Churn & Root-Cause Analysis (Python)
June 1, 2026 – Present
Analysed telco dataset; identified five root causes and delivered remediation roadmap.
Retail Performance Dashboard (Excel)
June 1, 2026 – Present
Cleaned sales data, defined KPIs and built interactive dashboard revealing top-selling SKUs and customer segments.
Python, SQL & Excel for Data Analysis
DataCamp
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including customer churn analysis, loan default prediction, retail performance, and sales analytics, indicates a broad interest and adaptability across different business domains. Their current role as a Data Analyst and freelance projects align well with the target role. The certifications from Coursera and DataCamp, along with membership in Data Science Nigeria, show a commitment to continuous learning and community engagement, suggesting a good cultural fit for growth-oriented environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, critical thinking, and attention to detail, which are crucial for a Data Analyst role. Their experience in collaborating with cross-functional teams and automating processes indicates a proactive and efficient operational fit. The ability to interpret operational data and provide actionable insights aligns well with business objectives.