Bank Fraud Detection System
Python-based fraud detection using synthetic transaction data with rule-based checks for unusual patterns and high-risk activity. Simulates real bank monitoring logic.
Finance Graduate building job-ready projects in fraud detection, credit risk modeling, security log analysis, and data analytics. Based in San Antonio, TX.
Detail-oriented professional bridging finance, analytics, and cybersecurity.
I'm a finance graduate with a passion for turning complex, messy data into clear, actionable insights. My background spans accounting concepts, internal controls, fraud detection logic, and public-safety operations — giving me a uniquely operational perspective on data problems.
Currently transitioning into cybersecurity and digital risk analysis. I enjoy building portfolio projects that simulate real-world problems — from synthetic fraud datasets to SOC-style log parsers — because the best way to learn is to build.
International experience across Nepal, Bangladesh, and the United States has sharpened my cross-cultural communication and adaptability. I'm a U.S. Permanent Resident based in San Antonio, TX.
B.S. Finance
Financial Modeling, Risk Analysis, Statistics, Accounting
Tools and technologies I use to solve real-world problems.
Real problems. Synthetic data. Clear results. Each project is fully documented and recruiter-ready.
Python-based fraud detection using synthetic transaction data with rule-based checks for unusual patterns and high-risk activity. Simulates real bank monitoring logic.
Synthetic portfolio of 500 applicants with underwriting logic, risk metrics, and default probability modeling using DTI and LTV ratios.
Synthetic system logs analyzed using SOC-style detection rules to identify brute-force attempts, failed login patterns, and suspicious authentication events.
Interactive Power BI dashboard tracking revenue trends, expense breakdowns, and KPIs across departments. Built with sample Fortune-500 style financial data.
NLP-based classifier to distinguish phishing from legitimate emails using keyword extraction, sender analysis, and urgency pattern detection on 2,000+ labeled emails.
Exploratory analysis of public datasets (crime, demographics, economic) for San Antonio using Python and Tableau, visualizing neighborhood-level trends.
Roles that built my operations mindset, documentation habits, and analytical discipline.
Built structured performance trackers in Excel; identified trends and discrepancies similar to monitoring controls and audit checks. Managed classroom data for 90+ students and generated weekly performance reports.
Completed intensive training in culturally responsive instruction and operational execution under strict timelines. Worked in cross-functional teams to deliver high-impact outcomes.
Monitored alarms, CCTV, and access logs; documented security events with accuracy and strict adherence to SOPs. Experience directly parallels SOC analyst workflows: continuous monitoring, anomaly detection, and incident escalation.
Streamlined tracking workflows for member activities and event attendance; improved internal operations documentation. Coordinated cross-departmental reporting for events attended by 200+ members.
Continuous learning to stay ahead in finance, data, and security.
In Progress — Expected 2026
Coursera — Google
IBM / Coursera
Mode Analytics
ACFE Fundamentals
In Progress — 2026
Open to entry-level roles in data analytics, risk, fraud ops, and cybersecurity.
San Antonio, TX — U.S. Permanent Resident
English · Nepali · Hindi · Bengali
Available immediately for full-time roles