The FAST ROI library is useful for quickly extracting the coordinates of a rotating rectangular ROI

Pipeline to analyze eye tracking data from SR reasearch data files

Atlas methods and classes for neuroimaging

🌾 AI-powered smart agriculture decision support system using machine learning 🌱🤖 and real-time APIs, built with PHP for crop disease detection, AI-based treatment planning, ROI statistics, and real-time market data, with admin management and dataset model training. Stored in a database and csv, Mysql.

Shoot for the Stars - the analysis of data using Python, Pandas, and Data Visualization

A pipeline and GUI for determining which ROIs match features in a fluorescence image.

Dynamic Power BI dashboard for marketing campaign performance monitoring and ROI analysis

Dash is cooler than PowerBI/Tableau and you won't change my mind

Simple perl script to extract mappability from a ROI file

This is a tool that will allow you to estimate the minimum required performance characteristics of an ML model for a business problem

Interactive Vancouver Airbnb Investment Intelligence Dashboard with real market data, ROI analysis, competitive intelligence, and neighborhood insights. Built with Streamlit.

Analyzed cross-regional marketing data to optimize telecommunications campaign performance and ROI.

Investigating the cognitive control process using Flanker task fMRI dataset through statistical analysis

A Marketing Mix Modeling (MMM) project using Python to analyze channel performance, calculate ROI, and simulate marketing budget changes for better business decisions. Includes a trained Linear Regression model, ROI analytics, and a Flask API for revenue prediction.

DAX patterns, PBIX demo file, and documentation

Complete pipeline for Multi-Touch Attribution (MTA) and Marketing Mix Modeling (MMM) analysis. Includes customer journey analysis, channel attribution, ROI optimization, and budget allocation recommendations for data-driven marketing decisions.

A strategic Power BI analysis of the $3.7T Global Unicorn ecosystem. This project moves beyond volume metrics to identify "Geographical Arbitrage" hubs (high ROI, low entry cost) and map "Kingmaker" investor networks. Features a custom "Burn vs. Efficiency" model to flag overvalued sectors.