Finance Data Analytics and Reporting
Key Accomplishments and Responsibilities:
Data Integration and Processing with SQL and Python:
•
Used SQL and Python technologies to integrate and process extensive
financial datasets from various sources, ensuring accuracy and
efficiency.
•
Developed robust data pipelines to cleanse, transform, and standardize
financial data, facilitating further analysis and insights generation.
Automated Data visualization using Tableau:
•
Utilized Tableau for advanced financial analytics and predictive
modeling to forecast revenue, expenses, and cash flow projections.
Financial Performance Analysis with Google Studio:
Ageing Reports and Invoice Clearance Management:
•
Developed Ageing Reports to track invoice approval progress across
multiple levels, ensuring timely payment and cash flow management.
Results:
•
Streamlined financial workflows and reduced operational costs,
resulting in enhanced efficiency and cost savings
Like this project
0
ETL and Data Pipelines
Production Process Optimization and Efficiency
Improvement