A full-stack, AI-powered marketing dashboard to unify and analyze your cross-channel campaign data. Built with Encore, React, and TypeScript.

FP&A Analysis Toolkit

Automated Analytics Pipeline

Anonymized BI and operational analytics case studies covering sales performance, business health, and daily operations reporting.

A small Python data quality ETL starter for cleaning, validating, exporting, and reporting messy CSV, Excel, JSON, and mock API data.

Automated Python pipeline for revenue & profit monitoring. KPI tracking, risk detection, and report generation from Superstore sales data.

CLI for TRA QA process optimization: Jira/Squash triage, testability scoring, reporting automation, and privacy-first LLM assistance.

CSV-to-PDF reporting pipeline that validates workshop rows and generates a reproducible facilitator packet with a reviewable PDF artifact.

Python-based automation system for IEX market data extraction, trend visualization, analytics reporting, and automated email dissemination.

A formula-driven Excel data cleaning and analysis project that transforms messy, raw HR datasets into an automated department summary dashboard using VLOOKUP, SUMPRODUCT, and conditional logic.

Python and SQL-based reporting support system that generates KPI dashboards, SLA analysis, executive summaries, and business decision-support insights.

AI-native private credit ops automation: CRM → reporting layer ETL with validation, dedupe, quarantine, auto-generated LP updates, and an MCP server exposing 11 agent-callable tools for Claude Code.

Automated MDV reporting pipeline using Synapse, Power BI Paginated Reports, and Power Automate for compliant vehicle insurance data delivery.

Automated reporting and analytics framework for e-commerce growth monitoring, funnel analysis, and KPI tracking.

Client-ready Meta Ads reporting in the operator's actual voice. Pulls live Meta Graph API data, writes a factual operator view, then rewrites it as a client message that mirrors your uploaded tone examples. Cost-gated voice and fact judges, deterministic guardrails, full per-LLM-call observability. Built on Next.js + OpenRouter + Supabase.