Originally from India, I am now based in Atlanta, GA after completing my Master's in Engineering Management at the University of Illinois Urbana-Champaign (GPA: 3.8/4.0). My path from mechanical engineering to fraud and risk analytics was not linear — it was driven by a simple realization: the most impactful work happens when you understand the data well enough to find what others miss.
At Oxigen Services India I worked on SBI's consumer banking network — 5,000 payment kiosks processing $6M in daily transactions. I identified an active AML structuring scheme, built fraud detection models that improved accuracy from 60% to 84%, and recovered $300K through systematic exception analysis. My work operated under RBI and PMLA regulatory frameworks — the Indian equivalent of BSA/AML compliance in the US. That experience shaped everything about how I think about data, risk, and financial crime.
I build fraud detection systems, risk intelligence pipelines, and data platforms that turn messy financial data into decisions that matter. I partner with engineering, compliance, and finance teams to identify risk patterns, define detection frameworks, and deliver systems that keep working after I leave the room. Whether that means running SQL audits on 1,500 weekly transaction anomalies, designing a PostgreSQL schema with full audit logging, or presenting risk KPI dashboards to a C-suite audience — I own the problem from discovery to delivery.
Fraud & Financial Crimes · AML/BSA Compliance · AI & Data Platforms · Risk & Financial Modeling · Supply Chain & Operations
When I am not buried in transaction logs or model outputs, you will find me playing chess (rated 1800, always looking for a match), diving into conversations about historical events and mythologies, or unwinding on the dance floor. I am also building Talk Palette, an Instagram page about living an intentional, simplified life. I believe curiosity outside of work makes you sharper inside of it.
Fraud Detection Modeling, AML/BSA Compliance, Transaction Monitoring, Exception Analysis, Anomaly Detection, Root Cause Analysis, Regulatory Reporting, Audit Trail Management
Python (LightGBM, XGBoost, SHAP, Scikit-learn, Pandas), SQL (PostgreSQL, SQL Server, DuckDB), Snowflake, PowerBI (DAX), Tableau, Alteryx, Streamlit, AWS
Statistical Model Building, Hypothesis Testing, Feature Engineering, Isolation Forest, SHAP Explainability, LLM Integration, Threshold Tuning, Model Benchmarking
Python, SQL (PostgreSQL, SQL Server), Tableau, Power BI (DAX), Excel, Snowflake, NetSuite, Oracle NetSuite (ERP), DuckDB, Streamlit, LightGBM, Alteryx
CFE — In Progress (ACFE) · Six Sigma Green Belt (Ernst & Young) · Google Advanced Data Analytics Professional · AWS Cloud Practitioner
Agile (Scrum), Waterfall, SDLC, JIRA, Confluence, Visio
Credit Risk Modeling · Fraud Detection · AI Risk Narratives
End-to-end financial risk intelligence pipeline built on Capital One's PersonaLedger dataset — 30M transactions across 144K users. Combines LightGBM credit risk modeling, Isolation Forest fraud detection, SHAP explainability, and LLM-generated executive risk narratives for 332 high-risk customers. Flags critical-risk customers with $3.4M in at-risk exposure across 5.6M test transactions.
End-to-end inventory management platform for retail supply chain optimization. Combines multi-model demand forecasting, K-Means SKU clustering, a 6-type exception alert engine, and scenario modeling — built on 500+ SKUs and ~920K transactional records.
Credit risk evaluation using FICO methodology. Calculates customer credit scores and segments profiles into risk categories for data-driven financial decision-making.
Insurance operations teams often struggle to decide where to start with automation. TriageIQ removes the guesswork — score 15 common brokerage workflows across 9 business dimensions and instantly see which are worth automating now, which need standardizing first, and which to skip. Built for ops leaders, not developers.
Automated communication pipeline built with Python Flask and Tableau Actions. Clicking a student's NetID triggers an email via Outlook SMTP — bridging dashboards with real-world workflows.
End-to-end CLTV analysis exploring acquisition costs, conversion rates, revenue, ROI, and lifetime value across marketing channels. Rich visualizations surface actionable channel-level insights.
Interactive Tableau dashboard for sales performance and customer analytics. Features KPIs, trend analysis, and customer segmentation — designed for executives and sales managers to drive data-driven decisions.
Workforce analytics dashboard providing insights into demographics, hiring trends, salary analysis, and employee records. Enables data-driven people decisions for HR teams and hiring managers.
I love meeting fellow analysts, fraud professionals, and builders. I am open to Fraud Analytics, Financial Crimes Analytics, Risk Reporting, AI Analytics, and Senior Data Analyst roles in financial services and banking. Open to relocate anywhere in the US. STEM OPT through August 2028 — no sponsorship required. Let's connect.