* Responsible for creating machine learning pipelines for predicting mortgage fraud applications.* Leveraged Generative AI to create robust synthetic data points for fraudulent applications.

* Managed and processed large datasets using Snowflake and SQL. * Developed and optimized data connections with Tableau to create detailed and visually compelling reports. * Used Python for comprehensive data analysis, providing statistically significant insights and actionable results for stakeholders. * Provided critical insights to the business team through statistical analysis, resulting in a 25% improvement in decision-making efficiency and a 15% increase in operational productivity.

* Worked on developing dashboards using Power BI for the stakeholders.* Performed Data Cleaning and interpreted information from the data using Pandas and Matplotlib.* Reduced SQL query response time by 46% through non-clustered indexing. * Created sales and after-sales reports and dashboards using Power BI to assist stakeholders in making data-driven decisions, contributing to a 27% reduction in decision-making time.