Remote, Remote, Nigeria
Summary
Led a comprehensive data analytics internship, applying full workflow expertise to deliver actionable insights across diverse projects and enhance data readiness.
Highlights
Executed a hands-on internship covering the full analytics workflow across 3 projects: data cleaning, exploratory data analysis (EDA), and SQL-based analysis.
Cleaned and preprocessed a real-world Excel dataset with Python and Pandas, resolving over 300 missing values and removing duplicates to produce an analysis-ready dataset.
Conducted exploratory data analysis with Pandas, Matplotlib, and Seaborn to uncover data distributions, patterns, and variable relationships.
Performed SQL-based analysis in SQLite, writing queries for extraction, filtering, joins, and aggregation to generate critical business insights.
Documented methodology and outcomes for each project to ensure reproducibility and clear stakeholder communication, enhancing team collaboration and knowledge sharing.