data analysis

Conducted a comprehensive data analysis project to extract actionable insights from a real-world dataset. The project involved data cleaning, preprocessing, exploratory data analysis (EDA), and visualization to identify patterns and trends.

Used tools such as Python (Pandas, NumPy, Matplotlib, Seaborn) and SQL to manipulate and analyze large datasets. Applied statistical techniques to uncover correlations and support data-driven decision-making.

Key Achievements:

Cleaned and transformed raw data to ensure accuracy and consistency.

Performed exploratory data analysis to identify trends and anomalies.

Built interactive dashboards to visualize key performance indicators (KPIs).

Generated actionable recommendations based on analytical findings.

The project enhanced my skills in data interpretation, critical thinking, and presenting insights in a clear and business-oriented manner.