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.

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

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.

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

Velostream is a high-performance streaming SQL engine built in Rust, designed for real-time analytics on financial and time-series data. It supports pluggable formats (JSON, Avro, Protobuf) and emphasizes low-latency processing, precision, and seamless integration with modern data pipelines

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

Interactive Power BI dashboard analyzing credit card transactions to uncover spending patterns, customer insights, and key financial KPIs for data-driven decision-making.

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).

In this project, I analyze commercial sales data using NumPy and pandas. I visualize total revenue per product using color-coded bar charts in Matplotlib. It’s a foundational step in business data analysis and project documentation.

Portfolio Risk Simulator is an interactive web app that lets users build portfolios, analyze risk with VaR and Sharpe ratios, visualize correlations, and compare performance to benchmarks, uses real-time data.

🚀 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.

modeling of pricing and analysis of stock and options

End-to-end Python notebook that engineers a proxy “bad-client” label, explores drivers of credit risk, and builds a leakage-free XGBoost scorecard with threshold tuning and cross-validation.

Full-stack pipeline to detect U.S. housing market bubbles and forecast price trends. Merges 6+ macroeconomic datasets in Snowflake to compute risk scores and price predictions using walk-forward ML models. Deployed with Streamlit for interactive insights.

This project documents the development of a Python-based Forex trading algorithm that integrates technical indicators and news analytics to automate trading strategies on MetaTrader 5.

📊 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.

Automated financial reconciliation and business analytics platform for theater operations. Reduced reconciliation time by 90%.

🏦🤖FinChurn is an advanced Financial Machine Learning system designed to predict customer churn and detect fraudulent activities with high accuracy. It includes a complete end-to-end ML workflow covering data preprocessing, exploratory analysis, class imbalance handling (SMOTE)

Chrome extension for comprehensive expense tracking and financial analysis, empowering users with automated e-commerce price detection, OCR receipt scanning, and real-time budget monitoring across multiple currencies.