KAUSHAL AGRAWAL

• Developed and maintained interactive, comprehensive dashboards using Power BI, enhancing data visibility and real-time insights for stakeholders, and driving informed executive decision-making.
• Utilized DAX to create advanced calculations, complex measures, and calculated columns to enhance data reporting accuracy and depth.
• Used Power Query to cleanse and transform raw data for analysis, significantly reducing processing time.
• Implemented ETL processes to streamline data acquisition from multiple sources, ensuring high data integrity, and availability.
• Conducted data analysis using Python and Pandas to identify trends, patterns, and anomalies, providing strategic recommendations that led to improvements in operational efficiency.
• Collaborated with stakeholders to define data requirements, ensuring alignment with business goals and objectives.
• Collaborated with cross-functional teams to identify data requirements and deliver actionable insights that gradually improved business performance.
• Conducted thorough data modeling and transformation to support predictive analytics and reporting.
• Contributed to documentation and best practices for data handling and reporting, fostering a culture of data integrity.
• Ensured functionality of existing reports, dashboards, and related tools through dedicated technical support.

• Designed and developed dynamic dashboards in Qlik Sense, delivering real-time insights that supported strategic decision-making across departments.
• Implemented ETL processes to efficiently extract, transform, and load data from various sources, ensuring high-quality data for analysis.
• Collaborated with cross-functional teams to define reporting requirements, leading to the development of tailored reports that enhanced business intelligence.
• Optimized data models to improve performance and accuracy in Qlik Sense dashboards, resulting in an 80% reduction in load times.
• Utilized data transformation techniques to cleanse and prepare data for analysis, significantly increasing data reliability.
• Contributed to documentation and best practices for data handling and reporting, fostering a culture of data integrity.
• Supported senior analysts in ad-hoc analysis and reporting projects, using Python to perform data manipulations and statistical analyses.

GPA: 7.18