Deepak P.

Key Skills

Software

No software listed

Top Subject Matter

Fraud & risk analytics in credit cards

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Document

Image

Text

Top Task Types

Text Generation

Segmentation

Freelancer Overview

Chief Manager – Cards Analytics (Fraud Analytics). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Arts, Delhi School of Economics (2021) and Bachelor of Arts, Kirori Mal College (2018). AI-training focus includes data types such as Document and Image and labeling workflows including Text Generation and Segmentation.

Labeling Experience

Chief Manager – Cards Analytics (Fraud Analytics)

DocumentText Generation

Built AI/ML-driven systems for fraud and customer analytics, including modeling that processes transactional signals to improve detection outcomes. Managed real-time fraud scoring and risk alerting workflows that effectively transform behavioral and transactional data into structured decision signals. Drove production enhancements such as rule-framework adjustments that improved alert precision for downstream decisioning. • Implemented real-time transaction score modeling using neural networks for fraud capture • Improved fraud-to-alert ratio by tuning the Falcon rule framework to reduce false positives • Built an address-matching system to detect and flag collusion patterns • Supported stakeholder reporting to business, risk, and CXO leadership

2024 - 2025

Senior Manager, Cards Acquisition Analytics - IDFC First Bank

ImageSegmentation

Lead credit cards acquisition analytics by building risk and optimization models to improve approvals and customer take-up. Design and implement machine learning scorecards and constrained optimization frameworks for channel strategies and customer selection. Translate model outputs into acquisition policies that balance growth with onboarding risk. • Build a constrained optimization credit limit optimization framework to increase customer take-up by 800 bps • Develop logistic regression and XGBoost risk scorecards reducing onboarding risk and supporting safer acquisition • Support marketing and acquisition decisioning using data-driven segmentation and analytics • Validate model performance and operationalize scoring logic for credit limit and acquisition use cases

2022 - 2023

Education

Work History