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Devanshu Agarwal

@devanshuagarwal

Senior Data Scientist specializing in fraud detection, ML modeling, and production ML systems.

India
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What I'm looking for

I seek roles building production ML systems for fraud detection or risk, where I can apply ML, feature engineering, and platform skills to deliver measurable reduction in fraud and operational overhead.

I am a Senior Data Scientist with experience building fraud-detection frameworks and production ML systems across banking products, combining strong statistical foundations with practical engineering to deliver measurable impact.

At IDFC First Bank I developed XGBoost models and advanced feature-selection pipelines that achieved 80% recall with 70% precision, implemented rule-based risk zoning, built negative PII repositories, and automated monthly checks to reduce fraud and operational effort.

Previously at Standard Chartered I collaborated on statistical analysis of user feedback, built platform microservices to structure Kafka logs, automated alert routing, and implemented trade confirmation components using React and Spring Boot, focusing on scalable, production-ready solutions.

Experience

Work history, roles, and key accomplishments

IB
Current

Senior Data Scientist

IDFC First Bank

Apr 2023 - Present (2 years 5 months)

Developed ML-based fraud frameworks (XGBoost) for Current Account and Two-Wheeler products, achieving 80% recall/70% precision and reducing manual reviews by 50%; implemented risk scoring and rule-based classification to prioritize freezes and capture 36% of frauds by tagging 2% of population.

SB

Software Engineer

Standard Chartered Bank

Aug 2020 - Apr 2023 (2 years 8 months)

Built platform engineering solutions including microservices to structure Kafka logs, automated alert routing to owners, and implemented a trade confirmation prototype using React, Spring Boot and image recognition to improve monitoring and reduce manual effort.

ID

Research Intern

IIT Delhi

Jul 2019 - Jun 2020 (11 months)

Analyzed air quality data from 40+ CPCB stations and built ML and LSTM forecasting models achieving up to 87% accuracy to derive pollutant trends and insights.

Education

Degrees, certifications, and relevant coursework

IIT Delhi logoID

IIT Delhi

Bachelor of Technology, Mechanical Engineering

2016 - 2020

Activities and societies: BSW Secretary; Tryst Coordinator

B.Tech in Mechanical Engineering from IIT Delhi with project work on analysis of Delhi air pollution and machine learning applications.

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Devanshu Agarwal - Senior Data Scientist - IDFC First Bank | Himalayas