Subhashini S

Responsible for collating and preprocessing, ETL for massive datasets from retailers. Interpret data, analyze results using statistical techniques, and generate ongoing reports. Utilized Python and SQL for automation, identification, analysis, and interpretation of trends or patterns in complex data sets and for database using GCP and DataBricks. Developed and implemented data cleaning and preprocessing pipelines to ensure data quality and consistency, resulting in more accurate analysis outcomes. Utilized statistical analysis techniques such as hypothesis testing and regression analysis to derive actionable insights from data. Created interactive data visualizations using Matplotlib, Seaborn, and Tableau to communicate insights effectively to stakeholders.