roi-analysis

soccer video detection ai agent using YOLO, HRNET, OSNet model for team reidentifiaction, field keypoint detection, ball detection, ROI detection

SDK to track cost-per-outcome for AI workflows

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

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

🌾 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.

Analyzed marketing campaign performance to identify high-ROI customer segments, reduce wasted spend, and improve targeting decisions using data-driven insights.

Pipeline to analyze eye tracking data from SR reasearch data files

Open-source image alignment and brain atlas registration for Fiji / ImageJ2. Review mouse brain microscopy against Allen CCFv3, select anatomical ROIs, and export crops and masks. Supports resumable batch review.

End-to-end data analytics project analyzing 120+ marketing campaigns across Google, Facebook, Instagram, LinkedIn, Email & YouTube. Includes data cleaning, EDA, ROI analysis, conversion funnel analysis, and an interactive web dashboard (Chart.js) deployed on GitHub Pages.

Power BI marketing campaign analysis evaluating ROI, CPA, conversions, lead generation, and channel performance to support budget optimization.

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.

Atlas methods and classes for neuroimaging

A comprehensive, open-source framework to help organizations calculate and justify the Return on Investment (ROI) for Generative AI projects across any use case.

Churn, LTV segmentation, and win-back ROI on the KKBox/WSDM dataset: calibrated XGBoost (ROC-AUC 0.788 on a fixed-seed 50K-user sample), K-Means LTV segments, retention-budget simulator with synthetic cold-start mode.

Streamlit-based Enterprise Resource Management tool featuring automated case scoring, ROI analysis dashboards, and dynamic staffing planning modules. Supports multi-file Excel data inputs.

This dashboard was created as part of a proposal for a Family Law Firm, enabling them to monitor and analyze advertising spend across different channels and compare their respective ROI.

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.

A decision-focused Marketing Mix Modeling project that delivers explainable channel attribution, ROI insights, and budget optimization through an interactive Streamlit dashboard.

Marketing Mix Modeling (MMM) case study analyzing top-of-funnel marketing spend efficiency using regression and ROI analysis to optimize channel allocation.