Ankit Shaw Email & Phone Number

Team Leadership, Credit Underwriting and Automation: Leading a team to automate and optimize the credit underwriting process, aiming to maximize credit approvals while minimizing risks. Designing and executing strategies for adjusting credit lines on secured and unsecured credit products, and managing application and behavioral scorecards. Model Development & Risk Management: Developing and implementing machine learning and statistical models to enhance credit risk strategies for both new and existing customers. Overseeing high-risk accounts and ensuring compliance through rigorous model risk management and robust underwriting automation.

Developed regression models with MEVs for loan volume forecasting, conducted stress testing and independent re-views for different CCAR scenarios, improving model accuracy by 30%. Communicated model risks to stakeholders and the Model Governance team.• Proposed a new risk tier segmentation for loan applicants using WOE (Weight of Evidence) scores, resulting in a 10% reduction in default rates and a 15% increase in loan booking efficiency.• Mentored junior colleagues and led departmental learningsessions, achieving a 40% improvement in team performance and driving cross-functional collaboration on new initiatives.

Monitored Machine Learning models for credit card applications, tracking the stability of AUC, Gini, KS-Statistics, PSI and CSI. Documented and communicated model risks and limitations to the Model Governance team.

Kolkata, West Bengal, India

Delivered analytical insights and reports on risk assessment with actionable recommendations, analyzing high-risk alerts and bulk alert-discounting strategies, resulting in a 30% reduction in operational costs.• Developed an ML model for cross-border trade risk mitigation, resulting in a 50% reduction in operational costs and improved efficiency in risk management processes.• Created a time series model to forecast quarterly alert volumes. Clustered False Positive alerts text using NLP and K means. Extracted individuals and entities involved in financial crimes using POS analysis.

Kolkata, West Bengal, India

An open-source educational platform on Youtube to help aspiring data scientists acquire knowledge on statistics, SAS, PYTHON, R, NLP and Machine Learning.

Developed visualization dashboards and MIS analytical reports using SQL, Excel-VBA, and SSRS for a BFS client, achieving 60% time savings through automation. Conducted data analysis in R to identify trends and validate supply chain hypotheses for a retail client, enhancing strategic decision-making

Bachelor’S Degree, Electronics And Communications Engineering, 7.7

High School, Science

Secondary School