Karan Singh

➢ Model Validation [Python/AWS SageMaker]

I conducted a thorough model validation process using Python and AWS SageMaker. I reviewed the existing codebase and identified areas that needed improvement. I then implemented the necessary changes resulting in optimized performance and better functionality. Additionally, I automated the reporting process using PySpark and Python, which streamlined and expedited the report generation process. This led to improved overall efficiency.

➢ Climate Risk Tool [Python/Dash/AWS]

I created a Climate Risk Analysis Tool utilizing Python, Dash, and AWS EC2. The tool is designed for banks to evaluate their loan portfolios for climate risks in real time. It features a simple and user-friendly interface and uses Python, Pandas, and Plotly for accurate data analysis and interactive visualizations.

➢Trade surveillance model validation [ Python/Excel ]

Creating synthetic data to test new scenarios for the model, analysis of model outputs, and visualization of reports using Python libraries like Bokeh and Seaborn. Created a repository of reports for future use, developing POC of changes in the process and new code updates.

➢ QC Automation [ Python/Openpyxl/excel]

Developed an automated process for validating synthetic data created for the Trade surveillance model. This process was developed using the Python library Openpyxl, pandas.

➢ LOAN Direct Debit Project [ SAS/SQL]

The Loan Direct Debit Project automates loan payments via direct debit for customers who can't pay through payroll. It's beneficial for those who've separated from their employer. Loan DD sends monthly reports and updates loan information for all users in the database.