Open-source dashboard for mobile app growth. Manage deep links, push notification campaigns, revenue tracking, and audience analytics. Self-hostable Next.js 15 + React 19 + shadcn/ui frontend for the Grovs platform.

AI-native CRM as MCP Server — 33 tools for contact management, pipeline, leads, follow-ups, health scores, revenue analytics, CSV import/export. The only production-ready standalone MCP CRM. Free tier. OAuth 2.1. Hosted at crm.studiomeyer.io

Enterprise-grade SaaS landing page concept for an AI-driven restaurant growth platform, combining revenue intelligence, marketing automation, and predictive analytics in a unified experience.

Universal indie sales tracker for LemonSqueezy, Gumroad, and Stripe. iOS + macOS. 100% on-device privacy.

Analytics MCP server for Clamp Analytics. Gives Claude, Cursor, VS Code, Windsurf, and Cline tools for traffic, pages, events, revenue, errors, funnels, cohorts, and alerts. Stdio + hosted Remote MCP.

Cloud-based PySpark ETL pipeline for analyzing search keyword revenue using AWS Glue, S3, and Terraform

Multi-property rental management with payment tracking, tenant details, and revenue analytics dashboard

Local-first SaaS analytics decision engine for governed KPIs, churn risk, revenue leakage, and explainable recommendations.

End-to-end Customer 360 analytics platform with SQL, Python, ML, SHAP, and Streamlit for customer segmentation, churn risk prediction, health scoring, and revenue action planning.

End-to-end Sales & Revenue Analytics project using SQL, Python (Pandas, NumPy), data modeling, KPI analysis, interactive dashboards, and time-series forecasting to deliver business-driven insights following industry best practices.

End-to-End SaaS Analytics Engineering Pipeline built using Snowflake, dbt, SQL, Python, Power BI. Features Dimensional Data Modeling, Automated Transformations, KPI Reporting Layers, Data Quality Testing, dbt Lineage Documentation, and Interactive Business Intelligence Dashboards for Revenue, Churn, Customer Health, Engagement & Retention Analytics

Sales and Revenue Analytics project using Python, Excel, and Power BI to analyze sales performance, profitability, customer segments, regional trends, and business insights.

Contracted merchant base analysis tool built in Python. Scores utilisation trends, flags churn risk and pricing discount anomalies, surfaces the renewal pipeline, and generates a structured report — replicating the core workflow of a commercial finance analyst interrogating a recurring revenue base.

AI-driven churn prediction and retention ROI engine that transforms customer risk insights into revenue recovery strategies and executive-ready reports.

Executive-level B2B Sales Forecasting & Revenue Trend Analysis dashboard built with HTML, CSS, and JS, featuring a Pandas aggregation pipeline to analyze 100k+ transactional sales records.

Real-time operational revenue monitoring system with KPI alerting, SLA breach detection, FastAPI backend, premium executive dashboard, and Tableau Public analytics.

A practical analytics framework for turning fragmented data into trusted revenue insights, enabling clear ROI measurement and executive decision-making.

AI-powered customer retention intelligence platform with churn prediction, revenue-at-risk analytics, customer risk scoring, predictive retention workflows, and interactive business intelligence dashboards.

End-to-end revenue cycle analytics | $360M revenue, 11.82% denial rate analysis, $13.5M recovery opportunity modeled | SQL (SSMS) + Power BI

North Grid is a fully functional SaaS operations workspace for tracking revenue movement, customer health, support pressure, product demand, activity trails, exports, and integration-ready workflows. Built with Next.js, TypeScript, PostgreSQL, Docker, interactive dashboards, demo auth, checkout flow, and polished marketing pages.