VADLA SURESH

Designed innovative machine learning solutions to optimize fraud detection processes for IGAM Group achieving $6.5M revenue protection in 2024.

Designed and developed frameworks to detect Customer Friction within Authentication processes using AI/ML technologies with significant uptick on DIS Score

Delivered data insights to senior management for critical decision-making processes.

Design and implement various Data Science, Machine Learning projects from scratch in Identity & Access Management & Fraud Prevention

Design and Implement various Fraud Analytics ML models for IAM Group in real-time

Providing Data Insights to Senior Management for critical decisions and other business problems by applying various data mining and statistical techniques

Maintaining the existing models

Data Science & ML Initiatives at ICICI:

Led AI/ML projects to enhance customer acquisition, engagement, and retention.

Designed data-driven strategies for digital customers using internal/external data.

Developed ML models for Personal Loans, Bill Pay, Credit Cards, and other products.

Built Next Best Product & Propensity Models, enabling ₹10 Cr PL disbursement in a month.

Created Digital Native Model, increasing high-value customers by 25%.

Developed Attrition Prediction (XGB), reducing churn from 13% to 8%.

Built Digital Onboarding (Cosine Similarity), increasing digital transactions by 12%.

Applied RFM Modeling for segmentation, boosting transactions by 20% and adding ₹2 Cr/month revenue.

Delivered key data insights to senior management for strategic decisions.

• Customer Relationship & Sales: Increased customer base by 150%, sales by 130%, and optimized cross-sell & up-sell.
• Portfolio Management: Advised HNI clients on low-risk investments for high ROI.
• Lead Generation: Developed a sales lead system implemented organization-wide.
• Customer Satisfaction: Improved service delivery via Finacle CRM & feedback mechanisms.
• Compliance & Risk: Ensured adherence to RBI, SOX, AML, and KYC regulations.
• Operational Efficiency: Automated vendor payments, reduced cash holding costs by 30%.