Dhanusree Avula

Master's

Computer Information Systems

DataSense IT

Data Analyst

- Analyzed and classified contact data for over 3 million accounts using SQL and Python, enhancing data - Managed data extraction processes across SQL Server, Snowflake, and Oracle databases, ensuring data - Utilized SAP BEx Analyzer and Query Designer to develop, modify, and execute queries for reporting and analysis, improving data retrieval efficiency by 25 - Enhanced ETL pipelines to integrate data from SQL databases and Excel, reducing data processing time by - 30 - Developed automated data workflows using Power Query, improving the efficiency of supply chain - Utilized Power Query in Power BI to merge and transform employee data into a consolidated dataset for comprehensive supply chain analysis - Created and maintained dynamic Power BI dashboards to visualize key metrics and performance indicators for supply chain operations, delivering critical insights to leadership for investor relations and business - Led reporting initiatives by building dynamic dashboards in Power BI and Qlik, improving data-driven - Integrated data from multiple sources into Qlik to create cohesive visualizations, enhancing the accessibility of complex datasets - Employed advanced data cleansing techniques to ensure data integrity and accuracy across multiple data - Used machine learning models in Python to forecast sales trends, achieving a 25% improvement in forecast - Collaborated on Salesforce integration to support investor relations and improve data accuracy in reporting - Managed data entry and integration into CRM systems for better data flow and reporting - Developed custom reports to support investor relations, improving stakeholder communication through - Developed predictive models using Python to forecast future trends and support strategic decision-making in supply chain management - Collaborated with cross-functional teams to improve data architecture, aligning data structures with business strategy - Promoted a data-driven approach to risk management and decision-making by providing actionable insights and recommendations based on thorough data analysis - Integrated data from various platforms via APIs, enabling real-time updates to data dashboards - Utilized DAX functions in Power BI for complex measures and KPIs, driving deeper business insights from dashboards - Ensured proper coding of data and seamless information uploads into CRM systems, including Salesforce