Aman Chawla
Data Scientist @NatWest Group
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WORK HISTORY
Data Scientist @NatWest Group
Gurugram, IN
Manage the end-to-end performance and lifecycle of AI and ML models across multiple business domains- Continuously monitor model health, detect performance drift, and drive root-cause analysis and experimentation to improve model accuracy and stability- Collaborate closely with business stakeholders, data scientists, ML engineers, Dev engineers, and data engineers to ensure smooth model operations and timely interventions- Evaluate post-production model performance against business KPIs to ensure models deliver consistent ROI and measurable business impact- Lead initiatives to enhance model observability, retraining workflows, and governance frameworks for scalable and explainable AI- Act as the bridge between technical and business teams, ensuring insights from model monitoring translate into actionable improvements and value creation.
EDUCATION
Indian Institute of Technology, Roorkee
Bachelor's Degree, Process Engineering with MBA
SKILLS
ABOUT AMAN CHAWLA
With 9+ years of experience across banking and financial services, I bring a proven track record of transforming data into business impact. My career spans the full spectrum of data analytics — from automation and dashboarding to AI-driven decision systems — and now focuses on enabling organizations to extract measurable ROI from AI and ML models.Core Strengths- AI & ML Operations: Managing post-production performance of models, conducting root-cause analysis, and driving continuous optimization to maximize business value- Business Problem Solving: Leveraging EDA, text mining, and advanced analytics to derive actionable insights in domains like Financial Crime, AML, and Sanctions- Cross-Functional Collaboration: Partnering with business leaders, ML engineers, DevOps, and data scientists to translate analytical findings into strategic initiatives- Strategic Stakeholder Management: Trusted partner to senior management for aligning analytics programs with compliance, efficiency, and growth objectives- Project Leadership: End-to-end management of data initiatives — from scoping and planning to deployment and post-production monitoring.Currently part of the AI Hub – Data Science Operations Team, where I oversee the health and performance of enterprise AI/ML models, ensuring they deliver tangible ROI and maintain reliability across production environments.
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