In this project, I processed complex raw datasets to extract actionable insights and create interactive visualizations that drive informed decision-making. The project lifecycle included:
Data Cleaning & Preprocessing: Utilizing Excel to handle missing values, outliers, and ensure data integrity.
Exploratory Data Analysis (EDA): Identifying hidden patterns, trends, and correlations using Matplotlib and Seaborn libraries.
Data Visualization & Dashboards: Designing clear, interactive dashboards to monitor Key Performance Indicators (KPIs) and business metrics.
Outcome: Provided a comprehensive summary and data-driven recommendations that helped optimize operations and understand user behavior.
Tools & Technologies: SQL, Microsoft Excel (Pivot Tables & Power Query).
Related Skills:
