Vasu Dharmana
Professional Summary
Data Analyst with 3+ years of experience specializing in SQL, Python, Power BI, Tableau, data visualization, KPI reporting, and data analytics. Improved data reliability by 30% through data validation and process optimization while delivering actionable business insights across consulting, technology services, and customer support operations. Skilled at transforming complex datasets into interactive dashboards and analytical solutions that enhance operational efficiency, support strategic decision-making, and drive measurable business performance.
Technical Skills
Work Experience
- Evaluated customer acquisition and operational datasets using SQL, uncovering service performance trends and reporting gaps that improved data accuracy and business reporting reliability by 18%.
- Designed executive dashboards in Power BI to monitor customer service performance, operational efficiency, and key business KPIs for leadership decision-making.
- Streamlined recurring customer and operational data preparation workflows using Python, reducing report generation time by 35%.
- Standardized customer and back-office datasets in Snowflake, supporting centralized analysis of service performance and operational activities.
- Processed customer datasets using Pandas, applying Data Cleaning and Data Validation practices to resolve inconsistencies and improve reporting quality.
- Partnered with operations managers using Jira within an Agile environment to translate reporting requirements into Data Transformation workflows and actionable business insights.
- Optimized enterprise data extraction using SQL and Microsoft SQL Server to support reporting workflows, reducing query execution time by 30%.
- Performed Exploratory Data Analysis on enterprise datasets to identify patterns, anomalies, and performance trends that supported stakeholder reporting and business analysis.
- Applied Statistical Analysis to evaluate performance variations and identify key factors influencing business outcomes across analytical datasets.
- Developed predictive analytical models using scikit-learn to support forecasting and performance planning, improving the reliability of projected business outcomes by 20%.
- Architected interactive KPI dashboards using Tableau, providing stakeholders with visibility into enterprise performance metrics and increasing reporting efficiency by 25%.
- Prepared reporting datasets using Microsoft Excel, applying Data Cleaning and Data Validation procedures to improve data consistency and analytical accuracy.
- Integrated client data from multiple enterprise systems using SQL Server Integration Services (SSIS), where standardized integration processes improved reporting data consistency by 20% across consulting engagements.
- Supported cloud-based analytics on Amazon Web Services (AWS) by organizing client datasets for centralized access, enabling consulting teams to retrieve business information more efficiently.
- Managed scalable reporting datasets within Microsoft Azure, helping cross-functional teams access analytical information while supporting a 15% improvement in data availability.
- Developed reusable analytical data models using dbt while maintaining controlled project changes through GitHub, resulting in more consistent delivery across client reporting workflows.
- Built interactive Power BI dashboards to monitor client KPIs; the improved reporting visibility helped stakeholders track business performance and contributed to a 30% increase in reporting efficiency.
Education
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