Insightful Data Analyst known for high productivity and efficient task completion. Specialize in data mining, statistical analysis, and machine learning algorithms to solve complex problems. Excel in critical thinking, communication, and problem-solving skills which enhance team collaboration and project success. Adapt quickly to new technologies to continuously improve processes and outcomes.
Retail Data Integration and Analysis Platform Enhancement
Data Analyst (PowerBI,SQL,Python)
PowerBI, SQL, Python, Led the enhancement of NielsenIQ's retail data integration and analysis platform, streamlining data processes for more accurate and efficient business insights., Developed custom Python scripts to automate ETL processes, including data cleansing, transformation, and validation, which reduced manual efforts and improved data quality., Utilized SQL to perform complex data extraction, transformation, and loading (ETL) processes, ensuring accurate and consistent data for reporting and analysis., Designed Star and Snowflake schemas to optimize data models, improving query performance and enhancing reporting accuracy., Created dynamic Power BI dashboards to visualize key performance metrics, market trends, and consumer behavior, providing actionable insights to stakeholders., Leveraged advanced Power BI features such as filters, slicers, and drill-through functionality to enable deep data exploration and interactive reporting., Developed advanced DAX calculations for complex measures and time series analysis, supporting predictive insights and trend forecasting within Power BI., Automated repetitive tasks using Python, including data validation and cleansing, improving efficiency and enabling timely reporting.
Employee of the Month, NielsenIQ, 09/01/23