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financial-analytics

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Detect and classify fraudulent transactions using SQL and Python. Generate behavioral features with SQLite, train a Logistic Regression model, and evaluate performance with AUC, precision, recall, and ROC analysis. A complete supervised fraud detection workflow.

  • Updated Sep 6, 2026
  • Python

Detect suspicious financial transactions using SQL and Python. Build user-level behavioral features in SQLite, apply Isolation Forest for anomaly detection, and visualize high-risk patterns. Demonstrates unsupervised fraud analytics and SQL-driven data science workflow.

  • Updated Sep 6, 2026
  • Python

Finvora is an AI-powered personal finance management platform built with JavaFX & Spring Boot featuring expense tracking, budget management, analytics dashboards, AI receipt scanning, voice transaction logging, PDF reports, savings goals, and a multi-LLM financial assistant.

  • Updated Jul 12, 2026
  • Java

Financial Analyst & FP&A portfolio | Excel financial modeling, budgeting, forecasting, variance & profitability analysis, Power BI, SQL, Python & executive reporting.

  • Updated Nov 1, 2026
  • Python

This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.

  • Updated Oct 30, 2023
  • Jupyter Notebook

🚀 AlphaCrew: Production-grade multi-agent hedge fund platform powered by CrewAI Enterprise. Features live trading via Alpaca, real-time performance monitoring with Grafana, and human oversight through Slack. Built for sophisticated algorithmic trading and portfolio management.

  • Updated Feb 2, 2025
  • Python

Self-hostable MCP server for YNAB: full YNAB API coverage plus 23 analytics tools (spending trends, recurring charges, budget health, goal progress). Read-only by default. Runs over stdio for Claude Desktop, or Streamable HTTP with OAuth for a household or team.

  • Updated Oct 30, 2026
  • TypeScript

📊 End-to-end data analytics project analyzing a bank’s loan portfolio to identify profitable segments, high-risk borrowers, and strategic insights using Python, Jupyter Notebook, and data visualization.

  • Updated Aug 8, 2026
  • Jupyter Notebook

End-to-end Credit Risk engine using Python. Achieved 93.04% Cross-Validated Recall and 0.98 ROC-AUC. Implemented advanced preprocessing (Log/Robust Scaling) and SMOTEENN to handle class imbalance. Champion model (Logistic Regression) provides full interpretability for strategic financial risk mitigation. 🏦📈

  • Updated Feb 1, 2026
  • Jupyter Notebook

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