padmoun pal
Analytical Fraud & Risk Analyst with banking payments experience and a growing focus on Financial Modelling, Forecasting, and FP&A.
hyderabad
pal.padmoun2015@gmail.com
I am a detail-oriented Fraud Analyst with experience in payments, risk analysis, transaction review, and banking operations. My current role has strengthened my analytical thinking, attention to detail, problem-solving, and ability to make risk-based decisions while working within defined policies and controls. I am now expanding my expertise into financial analysis, financial modelling, forecasting, and business performance analysis. I have a strong interest in understanding how financial data can be translated into meaningful insights for better business and cash-flow decisions. I am actively developing my Excel, accounting, three-statement modelling, scenario analysis, and forecasting skills. I bring a combination of risk-focused analytical experience, a strong learning mindset, and an interest in using data to solve business problems. I am particularly interested in working in a hands-on environment where I can take ownership, learn from experienced finance professionals, and grow into a broader financial planning and analysis role.
Google Cloud Arcade
Cloud Computing & Technical Skills Development
- **Google Cloud Arcade | Cloud Computing & Technical Skills Development**
- Engaged in hands-on learning through Google Cloud Arcade, exploring cloud computing concepts, Google Cloud services, and practical cloud-based labs. Developing foundational knowledge of cloud infrastructure, application deployment, data technologies, and cloud security through interactive learning activities and technical challenges.
- Focused on strengthening practical cloud skills, expanding technical knowledge, and building a foundation for continued growth in cloud computing and cybersecurity.
FRAUD ANALYST
wipro India
- **Fraud Analyst | Brazil Digital Payments & Risk Operations**
- Contributing to Brazil-focused digital payment operations with a focus on fraud risk identification, case analysis, and payment security. Developing knowledge of Brazil's digital payment ecosystem, including Pix, account takeover (ATO) typologies, and emerging fraud patterns. Building expertise in risk assessment, transaction monitoring concepts, session security, and fraud prevention to support secure digital payment experiences.
- Committed to continuous learning in cybersecurity, digital risk management, and financial technology.
FRAUD ANALYST
wipro India
- **Merchant Operations | Fraud Risk & Payment Security**
- Experienced in merchant-focused case management within digital payment operations for a Google product. Involved in reviewing merchant-related cases, assessing potential fraud and payment risks, and supporting case resolution and escalation in line with established operational procedures. Developed practical knowledge of merchant risk assessment, fraud prevention, payment integrity, and risk mitigation within digital payment ecosystems.
- Focused on strengthening analytical, investigative, and problem-solving skills while expanding knowledge of cybersecurity and digital payment security.
FRAUD ANALYST
wipro INDIA
- **Fraud Analyst – Google Product (Consumer Operations)**
- Worked on consumer-focused operations for a Google product, supporting case reviews, fraud identification, and risk assessment related to digital payment activities. Gained experience in reviewing consumer cases, identifying potentially suspicious transactions or activity, following established investigation procedures, and escalating cases when required. Developed practical knowledge of digital payment security, fraud prevention, risk awareness, and consumer account protection.
- This experience strengthened my analytical thinking, attention to detail, and understanding of the relationship between fraud prevention and cybersecurity in the digital payments ecosystem.
cybersecurity intern
National Payments Corporation of India(NPCI)
- **Cybersecurity Intern — NPCI (National Payments Corporation of India)**
- Gained exposure to cybersecurity concepts and digital payment security within India's payments ecosystem. Developed an understanding of cybersecurity fundamentals, security risks, fraud prevention, and the importance of protecting digital payment systems. Interested in expanding knowledge of network security, cloud security, threat detection, and incident response.
- **Skills:** Cybersecurity Fundamentals, Digital Payment Security, Fraud Prevention, Risk Awareness, Network Security.
Google CyberShield Sentinel(Network data-exfiltration detection prototype)
Build a defensive prototype that detects unusual outbound data transfers using network metadata, without collecting actual private files or credentials. 1. Analyse sample network logs or PCAP files. 2. Establish normal traffic patterns using connection duration and bytes sent/received. 3. Flag unusual outbound transfers and repeated connections to unfamiliar destinations. 4. Display alerts, severity, supporting evidence, and investigation notes in a dashboard. Suggested stack: Python + Zeek + Pandas + Streamlit. Zeek can analyse saved packet captures and produce structured network logs that your project can process.
SecurePay — Digital Payment Fraud Detection System
Project description A proposed security-focused solution for identifying potentially fraudulent digital payment transactions using rule-based risk analysis. The system evaluates simulated transaction patterns, flags suspicious activities, and generates risk alerts to support fraud investigation. It also incorporates account takeover indicators and basic security checks to demonstrate how digital payment platforms can improve fraud monitoring and protect users. Key features - Transaction risk scoring and suspicious activity alerts - Detection rules for unusual payment patterns - Simulated account takeover indicators - Investigation dashboard with case summaries
AI Shield — Intelligent Threat Detection and Phishing Analysis
AI Shield — Intelligent Threat Detection and Phishing Analysis Artificial Intelligence Machine Learning Threat Detection Project description A proposed AI-assisted cybersecurity solution designed to classify potentially malicious URLs and identify suspicious activity using machine-learning techniques. The system analyses URL characteristics and sample security data to produce risk classifications and explain potential warning signs, helping users recognise phishing attempts and understand common cyber threats. Key features - AI-assisted phishing URL classification - Suspicious URL and domain feature analysis - Threat risk scoring and explainable results - Dashboard for reviewing flagged samples
Bsc computer science
vinayak degree college (Fakir mohan university) · 8.9 CGPA
google Cybersecurity certification
coursera
Jan 2023
Attendee · Oct 24, 2026