Data Journey Highlights

• Transformed raw data into actionable insights by cleaning, organizing, and analyzing large datasets using Python and SQL.

• Designed interactive dashboards and visualizations in Tableau and Power BI to help stakeholders make data-driven decisions.

• Developed predictive models to forecast sales trends, improving business strategy and performance.

• Performed customer segmentation analysis that enabled targeted marketing, increasing engagement and retention rates.

• Automated data workflows with Python scripts, saving time on repetitive tasks and improving accuracy.

• Collaborated with cross-functional teams to understand data needs and deliver tailored analytics solutions.

• Applied statistical techniques and machine learning basics to uncover patterns and trends in data.

• Continuously upskilling in advanced analytics, cloud data services, and emerging tools to stay ahead in the field.