Our underwriting python module for underwriting credit card accounts. For enterprise partners wanting to do their own underwriting in-house.

This project is to help build a backend for underwriting use cases.

This is an advanced underwriting risk management app that is able to predict incoming storms and be able to quantify its magnitude and using AI and analytics engine determine the potential damage for policies that are in the line of the storm - Saving Insurance Companies Millions and saving Policies from unnecessary damage - WATCH THIS SPACE!

AI powered underwriting engine created during BaselHack 2025

A simple tool for investors to find cash-flowing properties in Canada. Scans target cities, underwrites with a conservative cash-flow model, and ranks deals by margin of safety.

Mortgage Risk & Retention Analytics Platform: predicts loan fallout and refinance risk, supports portfolio segmentation, and optimizes underwriter capacity with executive-ready reporting.

A decision-safety lab for loan approval: trains a baseline classifier, calibrates probabilities (ECE/Brier), sweeps confidence thresholds to build a coverage, quality frontier and outputs a defensible abstention policy (auto-decide vs review). Includes a Streamlit dashboard for report cards, triage UI, and data quality checks.

Demo project that lets you experience the invoice financing process flow supported by Codat's Accounting API.

DentDetect AI is a computer vision powered vehicle damage assessment app that uses deep learning to classify front/rear damage severity from car images and provides instant, user-friendly results via a Streamlit web interface.

Underwriting Loan Doc Generator: Business and Real Estate Investment DL App

Fintech creditworthiness scorer using cash-flow analysis instead of traditional credit scores. Built for alternative lending and gig economy workers.

Credit Risk Analysis using SQL & Excel – Approval trends by FICO, DTI, PTI, LTV, and delinquencies.

Official website for the CRE Consulting Company, a CRE consulting platform delivering underwriting, strategy, and financial modeling expertise.

End-to-end motor insurance analytics project using a two-stage (hurdle) modeling approach to predict claim occurrence and claim severity. Combines business analysis, machine learning, and risk insights to support underwriting, pricing, and claims optimization in General (P&C) Insurance.

Exploratory analysis of a public credit dataset using SQL-style queries + Python charts to profile default risk.

AI-powered property intelligence extraction using free data sources - v7.7

Actuarial insurance risk scoring using frequency–severity modelling to estimate expected loss for underwriting and pricing.

Senior Credit Analyst focused on SQL-driven credit analysis, portfolio insights, and financial modeling. I create data projects that connect credit decisions with real-world analytics. Currently building a public portfolio to support my transition into commercial credit and risk analytics.

Simulates two credit line policies and reports limit/utilization and default-proxy trade-offs (CSV + PNG)