Data Analyst

• Led a cross-functional team to optimize ETL processes using AWS services and refining SQL queries, achieving a significant improvement in application speed, reducing processing time by 25%.
• Designed and optimized data pipelines that processed 120 Terabytes of raw data, used Amazon S3 for data storage and employed AWS Lambda for automation, leading to 40% improvement in data processing speed.
• Optimized data modeling by integrating DBT with Snowflake, enhancing scalability and improving data processing speed by 30%, leading to faster and more efficient analytics for stakeholders.
• Built machine learning models to predict key business metrics, employing machine learning regression techniques such as Decision Trees and Customer segmentation, resulting in data-driven decision-making for marketing strategies.
• Empowered clients and stakeholders by documenting the findings and delivering comprehensive insights through Power BI dashboards to drive promotions, resulting in increased sales by 30%.

• Optimized loan lending processes by preparing detailed spreadsheets, utilizing pivot tables for data organization, and implementing data-driven strategies which improved loan approval time by 20%.
• Categorized applications using machine learning classification techniques, reviewed loan requests to determine financial reliability and creditworthiness of potential borrowers by 15% which led to decrease in loan default rates by 10%.
• Utilized Tableau for data visualization to extract maximum value form mortgage application data such as approval rates, trends., further presenting the analysis to senior management.