Egbeobauwaye Nagbons

Egbeobauwaye Nagbons Professional Summary Analytical and results-driven Data Analyst with 3+ years of experience transforming complex datasets into actionable business insights. Skilled in SQL, Python, Power BI, and Tableau for data modeling, visualization, and decision support. Proven success optimizing performance metrics, automating workflows, and improving data accuracy across business operations. Currently advancing expertise in data science and predictive analytics to drive deeper, data-informed strategy. Core Competencies Data Analysis & Visualization: Power BI, Tableau, Matplotlib, Seaborn Programming & Databases: Python, R, SQL, MySQL, PostgreSQL Machine Learning & Statistics: Predictive Modeling, A/B Testing, Statistical Analysis Tools & Platforms: Excel (Advanced), Git/GitHub, Google Cloud, AWS (Basic) Soft Skills: Data storytelling, cross-functional collaboration, process optimization Professional Experience Data Analyst | Magic Incorporated (Remote) Apr 2022 – Nov 2024 • Collaborated with 5+ business units to define KPIs and build dashboards, increasing strategic visibility by 70%. • Automated Tableau reports to cut reporting time by 67% and streamline stakeholder communication. • Optimized SQL queries to extract and process large datasets 40% faster, improving reporting efficiency. • Built churn prediction models in Python (87% accuracy), contributing to an 86% improvement in customer retention. • Conducted A/B testing on marketing campaigns, increasing click-through rates by 24%. Data Analyst | Moove (Remote) Oct 2020 – Jul 2021 • Cleaned, merged, and transformed multi-source data for performance monitoring and product strategy. • Developed 15+ Power BI dashboards for executive decision-making and trend analysis. • Designed reusable SQL scripts that reduced manual reporting effort by 42%. • Improved data workflows and ensured consistent data quality across departments. Professional Development | Self-Directed Jul 2021 – Apr 2022 • Upskilled in advanced Python, Machine Learning, and SQL. • Completed personal data projects on customer segmentation and sales forecasting. • Earned multiple certifications in data analysis and visualization. Education Bachelor of Science in Physics University of Benin — Graduated July 2018 Certifications • Data Computation & Analysis – ITEACH Academy • Data Visualization with Power BI & Tableau – ITEACH Academy • Advanced Excel for Data Analysis – ITEACH Academy • Python for Data Science – Digital Regenesys • Data Analytics Bootcamp with expertise in Microsoft excel, PowerBI and MySQL- Bliss Analytics • Data Analytics course using Microsoft excel – Deodat Data Institute Key Projects Customer Churn Prediction: Built a logistic regression model (87% accuracy) to identify high-risk customers, potentially saving 15–20% in recurring revenue. HR Analytics Dashboard: Designed an interactive Power BI dashboard analyzing employee attrition and performance, informing engagement strategies that could reduce attrition by 25%. eCommerce Forecasting: Predicted weekly sales trends with Python and Pandas, improving forecast accuracy by 18% and optimizing marketing spend.