Prathyusha

• Conducted in-depth data analysis using SQL to extract, clean, and transform large datasets for various business needs.
• Utilized Python for data manipulation, analysis, and automation, resulting in a 20% increase in data processing efficiency.
• Developed and maintained interactive dashboards in Tableau and Power BI to visualize key performance indicators and facilitate data-driven decision-making.
• Collaborated with cross-functional teams to understand business requirements and provided insights to drive strategic initiatives.
• Conducted data analysis and reporting, providing insights into customer usage patterns, revenue trends, and customer churn.
• Utilized SQL and data visualization Power Query tools to create custom reports and dashboards for management and Data mapping.

Conducted in-depth data analysis using SQL to extract, clean, and transform large datasets for various business needs.
Utilized Python for data manipulation, analysis, and automation, resulting in a 20% increase in data processing efficiency.
Developed and maintained interactive dashboards in Tableau and Power BI to visualize key performance indicators and facilitate data-driven decision-making.
Collaborated with cross-functional teams to understand business requirements and provided insights to drive strategic initiatives.
Conducted data analysis and reporting, providing insights into customer usage patterns, revenue trends, and customer churn.
Utilized SQL and data visualization Power Query tools to create custom reports and dashboards for management and Data mapping.
Optimize SQL performance, integrity, and security of the project’s database/schemas.
Contribute to optimization of data management and performance.
Developed and maintained ETL processes to efficiently extract, transform, and load data for analytics.
Applied Python and R programming languages and advanced analytics techniques to enable the predictive modeling of large data sets.
Utilized predictive modeling techniques to forecast customer churn, enabling the implementation of targeted retention strategies that reduced churn rate by 15%.
Presented data summaries and visualizations to stakeholders, leading to improved decision-making and better alignment of goals.
Created data visualizations using Tableau to present complex data in a user-friendly format, resulting in a 40% increase in data comprehension among stakeholders.

Designed, developed, and implemented Tableau Dashboards, Scorecards & KPI Reports.
Led data validation and cleansing initiatives, ensuring data accuracy and integrity in a high-volume environment.
Conducted statistical analysis and created predictive models using Python, contributing to a 15% improvement in forecasting accuracy.
Prepared and presented comprehensive reports to stakeholders, translating complex data findings into easily understandable insights.
Implemented data quality processes resulting in a 25% reduction in errors in reporting.
Provided support to senior data analysts, resulting in a positive impact on the company's overall performance.
Assisted senior team members in the data analysis process, contributing to a successful project that delivered impactful results to clients.
Utilized SQL and R to analyze large datasets, resulting in the identification of key insights and a 10% increase in campaign effectiveness.
Developed and maintained a data dictionary, ensuring accurate and consistent data usage across the organization.
Established key operational data metrics to analyze the processing of high-volume data.
Improved query performance and optimization through detailed maintenance and tuning, allowing databases to support key business decisions and draw useful insights.
Created visualizations and reports using Tableau and Excel that were used by stakeholders to make data-driven decisions, resulting in a 15% increase in revenue.
Developed and maintained dashboards to monitor key business metrics, providing real-time insights to stakeholders and enabling data-driven decision-making.