Ridwan Ibrahim | Data Analyst

Excel • SQL • Power BI • Python • R

Turning data into actionable business insights.

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About Me

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I am a data analyst who specializes in transforming complex data into clear, actionable insights that support strategic decision-making. I have applied data analytics across sales, healthcare, insurance, and financial services, helping organizations improve performance and make informed, data-driven decisions. My core strengths include data visualization, exploratory data analysis, and statistical analysis, using tools such as Excel, Python, SQL, R, and Power BI. I am also currently developing my skills in machine learning as part of my continuous learning journey.

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Experience

Data Analyst at Noor Takaful Insurance Limited

July 2025 – Present | Lagos, Nigeria

Led data analysis projects at Noor Takaful Insurance, built interactive dashboards, and delivered insights that contributed to revenue growth and better decision-making.

Data Analyst at Digital Bananas Technology

May 2023 – July 2025 | Lagos, Nigeria

I train and mentor aspiring data analysts through hands-on, project-based learning, teaching Excel, SQL, Power BI, Tableau, and Python, while supporting learners with portfolio building and career preparation..

Data Analyst at NIIT

September 2021 - January 2023 | Lagos, Nigeria

Delivered focused lectures and workshops on key data analysis concepts.Led hands-on projects using real-world datasets to reinforce practical skills.Provided personalized coaching and feedback to strengthen analytical and problem-solving abilities.

Skills

Python 90%
Power BI 95%
SQL 95%
R Programming 95%
Machine Learning 70%
Excel & Analytics 95%

Projects

Project 1

📈 Sales Dashboard

A comprehensive dashboard analyzing sales data using Power BI.

Project 2

🏥 Healthcare Dashboard

Built an interactive Excel dashboard to track patient and operational data, delivering actionable insights for healthcare management. Utilized PivotTables, advanced formulas, and dynamic charts to enable better decision-making and resource optimization.

Project 3

🥇 HR Analytics & Workforce Insights (SQL)

Analyzed employee data using SQL to support workforce planning, compensation review, and executive HR decision-making.

Project 3

💰 Sales Performance Analysis (Python)

Analyzed retail sales data using Python to uncover trends, seasonality, and month-over-month growth. Generated actionable business insights using Pandas and interactive visualizations to support data-driven decision-making.

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Testimonials

"Demonstrates exceptional analytical rigor and attention to detail. A strong asset for any data-driven organization."
Senior Executive, Manufacturing Company.
“Delivered actionable insights from raw data, contributing to a 30% uplift in sales.”
Senior Marketing Leader
“The training was clear, practical, and easy to follow. I gained hands-on Power BI skills I now use at work.”
Data Analytics Trainee

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