Sahittyam Nag

Operations Associate

Hyderabad, Telangana, India5 yrs 2 mos experience

Highly Stable

Key Highlights

Strong analytical background in financial transactions.
Expertise in fraud detection and risk mitigation.
Proficient in Python, SQL, and data modeling.

Stackforce AI infers this person is a data analyst specializing in transaction risk management within the Fintech industry.

Contact

Skills

Core Skills

Fraud DetectionRisk Analysis

Other Skills

Fraud InvestigationsFraud PreventionJiraJupyterKerasMachine LearningMicrosoft OfficeNatural Language Processing (NLP)NumPyPandasPandas (Software)Python (Programming Language)Risk AssessmentSQLTensorFlow

About

As a data analyst I bring a strong analytical background and a thorough understanding of financial transactions and risk mitigation to my role as a data analyst with an emphasis on moving into transaction risk management. I can anticipate hazards, spot patterns, and create useful insights to stop any losses because of my expertise working with massive datasets and my command of programs like Excel, Python, and SQL. I have a strong foundation in data modeling and a keen eye for detail, allowing me to effectively analyze transaction data and identify irregularities. My understanding of fraud detection and regulatory compliance further enhances my ability to contribute to risk management strategies.

Experience

Pwc

Associate

Jun 2025 – Present · 9 mos · Hyderabad, Telangana, India · On-site

Amazon

2 roles

Transaction Risk Investigator

Promoted

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Remote

Verified the authenticity of transactions and customer information through authentication processes and data cross-referencing
Utilized skills to effectively verify the authenticity of transactions
Ensured that customers are accurately identified and verified to be who they claim to be
Took immediate and decisive action to promptly identify and mitigate risks
Provided valuable insights into customer behavior to support informed decision-making.
Enhanced business understanding by providing valuable insights into transaction trends
Developed and deployed algorithms to automatically identify and flag suspicious activities, streamlining the investigation process

Fraud InvestigationsRisk AnalysisFraud DetectionFraud PreventionTransaction Monitoring