NewOperating layer for product analytics, data systems, AI workflows, and business decisions.View projects

Product, Data & AI Systems for Modern Tech Teams

I build decision infrastructure: SQL warehouses, product analytics, business analysis, dashboards, AI-assisted workflows, and agent-ready systems that turn operating data into product and business decisions.

workspace.command

$ open beheiry.dev/projects --focus budgetdb ghost-ai dashboards

Case-study systems for analytics, AI workflows, and decision infrastructure.

BudgetDB Ghost-AI Dashboards Chorus

/portfolio/projects

case-studies.index

decision-infrastructure.log

# Build analytics warehouse

$ psql budgetdb --run models/finance_workforce.sql

CREATE VIEW analytics.v_exec_ops_annual ... DONE

QA checks: source totals reconciled · variance within threshold

# Generate product decision brief

$ ai summarize --inputs sql,dashboard,roadmap

Signals: churn risk, cost concentration, adoption friction

Output: executive notes, KPI risks, recommended next actions

31+

SQL views and checks

BudgetDB-style warehouse logic, executive views, and QA validation.

98%

QA pass target

Reconciliation-first thinking for trusted business reporting.

30%

manual reporting reduction

Automation mindset across reporting, dashboards, and recurring analysis.

10K+

engagement lift analyzed

Product analytics, retention, churn, funnels, and stakeholder reporting.

Working projects

Functioning systems, active prototypes, and product evidence

Each build connects a real problem to technical implementation, reviewable evidence, and decision impact.

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Technical systems panel

Technical Stack / Tools I Work With

A practical operating system of product, data, AI, SaaS, and analytics tools used across dashboards, automation, product delivery, and business decisions.

technical_stack.logo_wall

/skills/tools-systems

Data Sources & Storage

/tools/data-sources

12 items

Postgres / PostgreSQLprimary database

SQL Databases

Supabase

Snowflake

BigQuery

Redshift

MySQL

MongoDB

Google Sheets

CSV / Excel Data

CRM Data

Product Usage Data

Manage & Query

/tools/manage-query

14 items

SQLanalytics query

Pythonprimary coding

Data Modeling

Data Cleaning

Dashboards

Reporting Automation

KPI Design

Funnel Analysis

Cohort Analysis

Retention Analysis

Churn Analysis

A/B Testing

Statistical Analysis

Apps, SaaS & Integrations

/tools/apps-integrations

21 items

Clerk

Supabase

Vercel

Next.js

React

Tailwind CSS

GitHub

Git

APIs

ENV / Config

Authentication

Stripe

Zapier / n8n-style automation

Webhooks

CRM

Jira

Confluence

Figma

Mural

Smartsheet

Azure DevOps

AI / ML / Agent Systems

/tools/ai-ml-agents

38 items

OpenAI

ChatGPT

Claude

LangChain

LangSmith

Pinecone

Vector Databases

RAG

Embeddings

Prompt Engineering

AI Agents

Agent Mode

MCPs / Model Context Protocol

Markdown / .md Docs

Plugins

Skills

Automations

Agent Tools

Tool Calling

Context Engineering

Workflow Orchestration

Prompt / Instruction Files

AI Operating Procedures

AI-assisted Documentation

Reusable Agent Workflows

Human-in-the-loop Review

Task Automation

LLM Workflows

Model Evaluation

Workflow Automation

Supervised Learning

Unsupervised Learning

Regression

Classification

Clustering

Forecasting

Recommendation Systems

Anomaly Detection

Product / Business / FinTech

/tools/product-business

17 items

Product Management

Product Analytics

Roadmaps

PRDs

User Stories

Backlog Prioritization

Stakeholder Management

Business Analysis

Operations Analysis

Market Analysis

SaaS Systems

FinTech Systems

Retirement / Financial Services

Billing Systems

Compliance Workflows

QA / UAT

Process Improvement

Operating system

Product, analytics, business, and AI modules

A recruiter or founder should be able to scan the page and understand the work surface quickly.

capability_modules

skills.workspace

module

Product Strategy

Roadmaps, PRDs, stakeholder alignment, business requirements, and tradeoff framing.

module

Analytics

Funnels, retention, cohorts, churn, KPI design, dashboards, and experiment interpretation.

module

Business Analysis

Financial operations, process maps, reconciliation, reporting logic, and decision support.

module

AI Workflows

Prompt systems, LLM workflows, RAG concepts, agent architecture, and AI-assisted development.

module

Technical Teams

AI products, SaaS workflows, financial systems, customer operations, and data-driven product decisions.

Analytics console

Dashboards, SQL, and AI summaries in one decision layer

A compact product console showing how the portfolio connects data models, quality checks, product analytics, and AI-generated operating notes.

product_analytics_workspace

dashboard.sql

SELECT team, cost_category,
       SUM(amount) AS spend,
       RANK() OVER (
         PARTITION BY team
         ORDER BY SUM(amount) DESC
       ) AS priority
FROM budgetdb.fact_spend
WHERE period = 'current_qtr'
GROUP BY team, cost_category;

warehouse

31 views

Postgres models refreshed

quality

98% target

variance checks completed

product

+10K signal

activation funnel reviewed

workflow

exec-ready

AI summary generated

Code proof

BudgetDB is shown through SQL and QA logic

The flagship working project demonstrates data modeling, business analysis, QA checks, and executive reporting.

code-proof.workspace

Code proof

View SQL file View BudgetDB

1CREATE VIEW analytics.v_software_cost_per_employee_company_2025 AS2WITH employee_count AS (3  SELECT COUNT(*)::int AS total_employees_20254  FROM analytics.dim_employee5  WHERE (start_date IS NULL OR start_date <= '2025-12-31'::date)6    AND (end_date IS NULL OR end_date >= '2025-01-01'::date)7),8company_spend AS (9  SELECT SUM(COALESCE(total_spend_2025, 0))::numeric AS total_software_spend_202510  FROM analytics.vendors_2025_clean11)12SELECT13  c.total_software_spend_2025,14  e.total_employees_2025,15  ROUND(c.total_software_spend_2025 / NULLIF(e.total_employees_2025, 0), 2)16    AS software_cost_per_employee_202517FROM company_spend c18CROSS JOIN employee_count e;

why_me.profile

recruiter-ready

I turn business questions into decision infrastructure: SQL/Postgres workflows, executive dashboards, KPI frameworks, QA checks, budget models, churn analysis, product usage analysis, and AI-powered workflows that help teams move from raw data to confident decisions.

My background sits across product management, business analysis, FinTech/SaaS operations, product analytics, and applied AI. I connect strategy with execution by translating stakeholder needs into requirements, building dashboards and reporting systems, validating metrics, and designing workflows that make decisions faster and cleaner.

I recently built and deployed this AI/analytics portfolio platform using Next.js, React, TypeScript, GitHub, and Vercel, with CI/CD, custom domain routing, and a scalable structure for showcasing data systems, AI workflows, and product case studies.

My work includes BudgetDB, an operations analytics warehouse; SQL reconciliation systems; executive dashboards; Python-based churn modeling; and Chorus, an AI-agent learning product focused on workflows, agent skills, memory, and decision systems.

I focus on building systems where SQL, dashboards, APIs, product thinking, metrics, and AI workflows come together into end-to-end decision infrastructure.

Open Why Me Contact me

Portfolio: beheiry.dev

Warning: excessive exposure may cause roadmap clarity, cleaner metrics, and fewer spreadsheet fires.