Niranjan Behera Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

Specialized in SAS programming for advanced data analysis and strategic decision-making. Created and managed campaign processes using SAS and Azure Databricks. Integrated Power BI and SQL for enhanced data analysis and visualization.Focused on CVM GCC Analysis by utilizing Ad-hoc analysis and A/B testing to optimize campaigns and generate actionable insights. Dedicated to delivering analytics that drive strategic decisions and enhance business outcomes.

Bengaluru, Karnataka, India

Automated data integration into analytical DataMart’s using SAS, SQL, and Python, significantly improving efficiency and streamlining the data visualization process.I developed Credit Risk Master files, analyzed portfolio performance, identified trends, and communicated insights to Risk Management, implementing credit risk models (PD, LGD, RWA, ECL, and EAD) to enhance credit performance analysis.Prepared portfolio monitoring reports, comparing default vs non-default performance and segmenting customers by risk. Transitioned reporting to Power BI, reducing man-hours by 30%.

Bengaluru, Karnataka, India

Automated data sourcing and integration into DataMart’s using SAS, SQL, Python, Tableau, and Power Bi improving credit account origination, performance, and collection processes.Applied machine learning techniques to develop predictive models, enhancing loan application mapping and accuracy in daily MIS reports. Managed calculations, reporting, and data for credit risk models (PD, LGD, RWA, ECL, and EAD).Generated MIS reports by customer segment, score bucket, and risk status, conducting comprehensive data integration and model design. Managed regular reporting for account origination and performance, tracking loan application statuses.

Bengaluru, Karnataka, India

Developed skills in SAS, SQL, Excel, and data visualization during a 10-month credit risk analysis internship, focusing on account origination, performance analysis, and impactful dashboards.Analyzed credit risk in customer portfolios and mastered data extraction, manipulation, and cleansing for improved reporting accuracy, while also working with credit risk models such as PD, LGD, RWA, ECL and EAD.