financial-analytics

Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python

Mutual Fund Analysis Dashboard using Python, Excel, and Power BI | Top 30 Low-Risk High-Return Schemes Identified

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.

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.

Open source financial analytics and AI advisor SuiteApp for NetSuite

AI-powered group finance assistant using MCP architecture, Gemini LLM and Streamlit.

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.

Job-ready FP&A & Financial Analytics portfolio—forecasting, variance analysis, KPI dashboards, and executive reporting (Python/SQL).

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.

MoneyHubSport is a personal finance and expense management application built with Java, helping users track income, manage expenses, monitor budgets, and analyze spending habits through a modern and intuitive dashboard.

Personal investing tracker with watchlist, portfolio analytics, and corporate events tracking. Built with Next.js 15, tRPC v11, Prisma, and InfluxDB.

🚀 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.

An end-to-end Python and MySQL data engineering pipeline and object-oriented analytics library for cryptocurrency price data.

📊 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.

End-to-end KYC/AML compliance data analysis using mock datasets. Includes customer risk scoring, suspicious transaction flagging, and compliance reporting in Python (Pandas, Matplotlib).

A comprehensive MCP server for YNAB with 55+ tools covering the full API plus advanced analytics—spending trends, subscription detection, budget health scores, and savings recommendations. Works with Claude Desktop and other MCP-compatible AI assistants.

This repository contains all lab work and digital assessments from the Winter Semester of my M.Sc. Data Science program at VIT Vellore. Projects span across machine learning, data mining, statistical inference, time series analysis, data visualization, and Java programming—implemented using tools like Python, R, Power BI, Tableau, Excel, and Java

Demonstrates a workflow that involves fetching, processing, storing, analyzing, and reporting on financial data using machine learning techniques within a Snowflake database environment

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. 🏦📈

AI-Powered Financial Management ERP System for Small and Mid-Sized Enterprises, providing real-time financial analytics, predictive revenue forecasting, and support customized data-driven decision-making.