Kommana Sunil

Fraud Analyst · Transaction Monitoring · Financial Document Verification

Hyderabad, Telangana, India

@kommana_sunil

0 followers

About

Fraud Analyst with 3+ years of experience in fintech operations, specializing in fraud detection and investigation, transaction monitoring, financial document verification, and risk assessment. Detail-oriented and analytical, with experience in compliance operations, KYC verification, quality assurance, and data privacy support.

Experience

Data Analyst – Fraud & Compliance Operations

MJGDL Pvt. Ltd. · Hyderabad, India

Nov 2022 – Present

Analyze and verify bank statements and financial documents; investigate suspicious transactions and unusual account activity; validate financial data against source documents; investigate mismatches in customer financial information and supporting documentation; conduct risk assessments; perform quality assurance checks; support compliance operations including KYC/customer data verification and regulatory processing; support data privacy operations; prepare structured investigation findings and communicate results.

Education

2022

Bachelor of Technology

Global Institute of Engineering and Technology

2019 – 2022

2019 – 2022
2019

Diploma

RRS College of Engineering and Technology

2016 – 2019

2016 – 2019
2016

Secondary School Certificate (SSC)

Vidya Niketan Model High School

2016

Skills

2 to 5 years

Operations Data Privacy Investigations Risk Assessment Data validation Fraud Detection KYC verification Quality Assurance Transaction Monitoring Customer Data Verification

<3 months

SQL discrepancy investigation Case management documentation financial document verification

Tools / apps / platforms

2 to 5 years

Microsoft Excel

🏆 Achievements & awards

Identified suspicious and potentially fraudulent financial records

Recognized suspicious and potentially fraudulent financial records through detailed bank-statement and document analysis, helping reduce fraud exposure.
Contributed to process improvements

Helped strengthen data validation and document review efficiency by identifying recurring discrepancies.

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