Olorunfemi Henry

I am a highly analytical and detail-oriented Data Analyst with a strong background in data collection, cleansing, visualization, and interpretation to support business decision-making. With over 7 years of hands-on experience across diverse industries such as finance, marketing, e-commerce, and healthcare, I specialize in transforming raw data into actionable insights that drive growth, efficiency, and innovation.

Technical Skills:

Data Analysis & Manipulation:

Expert in using SQL (MySQL, PostgreSQL), Python (Pandas, NumPy), and R to clean, structure, and analyze large datasets from multiple sources.

Data Visualization:

Skilled at turning complex datasets into compelling visuals using tools like Power BI, Tableau, Matplotlib, Seaborn, and Looker. I focus on building dashboards that are both insightful and user-friendly.

Statistics & Machine Learning:

Proficient in applying statistical methods (regression, hypothesis testing, A/B testing) and basic machine learning models (clustering, decision trees, random forest) for forecasting and classification problems.

Business Intelligence:

Adept in defining and tracking KPIs, building automated reporting systems, and performing root cause analysis to support business units.

Excel & Advanced Spreadsheets:

Advanced Excel user including pivot tables, Power Query, complex formulas, and VBA scripting for reporting automation.

Soft Skills:

Strong communicator with the ability to present technical findings to non-technical stakeholders in a clear, concise manner.

Highly collaborative, often working cross-functionally with product, marketing, finance, and engineering teams.

Problem-solver by nature, with a knack for identifying data-driven solutions to complex business challenges.

Agile and adaptable, comfortable working in fast-paced environments and managing multiple priorities.