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Sattaru Nagireddy

@sattarunagireddy

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Machine Learning Engineer building fraud detection systems for suspicious financial transactions using graph analytics.

India

Message

What I'm looking for

I’m looking to build ML-driven fraud and AML detection systems—especially graph-based approaches—where I can collaborate with compliance teams, reduce false positives, and ship end-to-end pipelines that cut manual investigation effort.

I’m working at Jocata Financial Advisory and Technologies in Hyderabad, designing and deploying machine learning models that detect suspicious financial transactions in real time. I’ve helped cut false positives by 50% through iterative tuning and feature refinement.

I also partnered with compliance teams to encode AML rules, which reduced manual investigation workload by 25% and improved regulatory compliance. Along the way, I started architecting a graph-based network analysis system for fraud detection in Neo4j.

Before that, I built an Auto-Closure pipeline during my ML internship that reduced manual review workload by 30%. I’ve also developed projects like a semantic movie search engine with OpenCV and a full-stack online auction system using Django.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Jocata Financial Advisory and Technologies

Jun 2024 - Present (2 years 2 months)

Designed and deployed machine learning models to detect suspicious financial transactions in real time, achieving a 50% reduction in false positives. Collaborated with compliance teams to encode AML rules, reducing manual investigation workload by 25%.

Machine Learning Deep Learning Graph Databases Neo4j Python AML Fraud Detection Network Analysis

Machine Learning Engineer Intern

Jocata Financial Advisory and Technologies

Jan 2024 - Jun 2024 (5 months)

Developed deep learning models to enhance Suspicious Transaction Report detection rates. Engineered an Auto-Closure pipeline that reduced manual review workload by 30%.

Deep Learning Python Machine Learning AML & Model Tuning

Software Engineering Intern

TCUBEAI

Jun 2023 - Aug 2023 (2 months)

Built a real-time monitoring dashboard for tracking product serial numbers across manufacturing stages. Integrated interactive charts and visual analytics for production health assessment.

HTML CSS JavaScript Python Django MySQL

Education

Degrees, certifications, and relevant coursework

Mahindra University

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Activities and societies: Relevant Coursework: Object Oriented Programming, Database Management Systems, Machine Learning. University Scholarship Recipient – selected among top 10 out of 220 students.

Bachelor of Technology in Computer Science and Engineering from Mahindra University from 2020 to 2024.