• Conducted in-depth analysis of credit lending data to identify trends, patterns, and insights using SQL and SAS.• Developed and maintained complex SQL queries to extract data from relational databases for analysis.• Collaborated with business stakeholders to understand data requirements and provide actionable insights to support decision-making processes• Developed and implemented decision offer matrices for optimizing banking product offers, enhancing customer segmentation and targeting strategies using SAS and SQL.• Developed a strong understanding of the credit card industry, including regulatory requirements and best practices for managing delinquent accounts.• Collaborated with cross-functional teams, developing a deep understanding of the credit risk process and lending business in the American Market. Created interactive dashboards and report using Tableau to visualize the key performance metrics and trends for stakeholders

• Ensured seamless application support and troubleshooting, minimizing downtime and ensuring maximum customer satisfaction.• Developed and implemented backend and front-end enhancements using PL/SQL and C# within an Agile framework.• Experienced in writing complex SQL select queries (window functions & CTE’s) with advanced SQL. • Conducted in-depth analysis of retail data to identify trends, patterns, and insights using SQL and SAS.• Proficient in database management, overseeing database and crafting intricate SQL queries to extract and manipulate data. Ensured data accuracy and integrity, catering specially to analytical needs.• Collaborated with cross functional teams to analyze and interpret data insights, translating findings into compelling presentation using Tableau, ultimately enhancing stockholder engagement.• Implemented ETL (Extract, Transform, Load) Processes to efficiently integrate and transform data from diverse sources into unified format, streamlining data pipelines and enhancing data quality for analysis