Marianne Gatlabayan · Industrial Engineer · I build the operating systems businesses run on

Industrial Engineer who designs and runs the operational systems a business depends on.

Automation, data, reporting, and governance, built to be relied on every day. Ten years turning manual, scattered operations into automated systems that cut busywork and give leaders numbers they can act on.

View projects
10+
Years in ops & data
88%
Site health delivered
68%
Organic CTR lift
95
Crawl errors cleared

01 / Profile

Operator first, engineer always.

Practical automation built around real operational constraints, using technology that makes work easier, not more complicated.

I'm an Industrial Engineer with over a decade of experience building automated data pipelines and reporting systems. My work starts with the people doing the manual work: the report rebuilt every week and the numbers nobody quite trusts. It ends with systems that handle it for them.

I combine scripting, automation platforms, and AI workflows with careful data governance, turning raw operational data into information teams can rely on, in regulated industries and fast-growing global operations alike.

02 / Services

Four ways I can help.

Automation, data engineering, business intelligence, and operational governance. These are delivered as working systems your team can depend on, not slide decks.

Operational Automation

Remove the repetitive work that quietly drains a team. I connect the systems you already use, automate the handoffs between them, and wrap the whole thing in logging and error handling so it runs without babysitting.

  • Enterprise AI APIs
  • Agentic workflows
  • Make.com
  • System integrations

Proof

Data Systems and Engineering

Turn scattered spreadsheets and disconnected tools into one governed source of truth. Pipelines that pull, clean, and validate data on their own, so the numbers people act on are the right ones.

  • Python
  • APIs
  • Data pipelines
  • Validation frameworks

Proof

Business Intelligence

Give leaders a view they actually open every morning. Dashboards and KPI systems built around the decisions being made, not around whatever data happens to be lying around.

  • Executive dashboards
  • KPI frameworks
  • Looker Studio
  • Spreadsheet engineering

Proof

Operations Architecture

Design how the work itself should run. Process mapping, automation roadmaps, and the governance and controls that hold quality steady as the business grows.

  • Workflow assessment
  • Process design
  • Data governance
  • Operational controls

Proof

03 / Technical Capabilities

Technical Capabilities

Grouped by what they let me build, not by logo.

Automation and Integration

  • Python
  • Google Apps Script
  • Make.com
  • AI workflow design
  • System integration

Data and Analytics

  • Data pipelines
  • Data validation
  • Executive reporting
  • KPI systems

AI Systems

  • Enterprise AI APIs
  • Custom AI workflows
  • Document processing
  • Prompt systems

Operations and Governance

  • Process improvement
  • Systems analysis
  • Data governance
  • Operational controls

04 / Why organizations hire me

Why Organizations Hire Me

Most specialists build one part of the solution. I build the whole operating system around it. From process design and automation through data engineering, reporting, and executive visibility, I build systems that cut manual work and give leaders the numbers to decide with.

  • ✓Industrial Engineering foundation, so I design the process before I automate it
  • ✓Automation and AI implementation that ships, not slideware
  • ✓Data engineering and reporting people can trust
  • ✓An operations governance mindset built for scale
  • ✓A business-first read on every technical decision
  • ✓Clear documentation and stakeholder communication

05 / Case studies

Shipped systems, measured outcomes.

Twelve systems grouped by the service they prove. Real operational problems, working systems, measured outcomes.

Project 01 of 12

01Operational Automation

Zero manual media monitoring, 10,610 opportunities captured

A marketing team was scanning inbound journalist and media queries by hand and losing the ones that arrived overnight. I built a Gmail-driven monitor that reads incoming queries, structures them, and files them to a database on its own. It captured 10,610 opportunities with no copy-paste, so the team acted on leads instead of hunting for them.

Spreadsheet database of inbound queries with a category breakdown chart
  • ▸Stack: Google Apps Script, Gmail, Google Sheets
02Operational Automation

Every booking becomes a briefed call, with no admin in between

A discovery-call booking used to mean manual calendar invites, notes docs, and follow-up emails. I built a pipeline where one form submission creates the calendar event and Meet link, writes a private prep doc, sends a tailored welcome email, and logs everything to a tracker. The operator arrives at each call already briefed.

  • ▸Stack: Google Apps Script, Sheets, Calendar, Docs, Gmail
03Operational Automation

Toxic backlinks found and queued for disavow before they cost rankings

Manual backlink review is slow and easy to skip. I built a tool that pulls a domain's backlinks, scores them for spam signals, and prepares the disavow file. It turned a full day of manual checking into a scheduled run.

  • ▸Stack: Google Apps Script, SEO data sources, Sheets
04Operational Automation

Unified Customer Response Hub

Replies were scattered across platforms and slow to go out. I built a web app that pulls conversations into a single view and drafts on-brand responses, so reply time drops and nothing slips through.

  • ▸Stack: Web app, AI APIs
05Data Systems and Engineering

A P&L leadership can defend line by line

A lending operation ran its P&L on hardcoded numbers nobody could trace. I rebuilt it as a driver-based model where every figure follows from a stated assumption. Leadership could test scenarios and stand behind the numbers in a review.

Profit and loss model showing formula-driven assumptions for a lending business
  • ▸Stack: Google Sheets engineering, financial modeling
06Data Systems and Engineering

Multi-Location Franchise Data Platform

Two fitness studio franchise brands had performance data spread across locations and tools. I built the data system that pulls it together, validates it, and feeds one reporting layer, so head office compares studios on the same basis.

  • ▸Stack: Google Sheets, Apps Script, data validation, FILTER and QUERY
07Business Intelligence

One screen for 11,304 calls across 221 destinations

Call performance lived in exports nobody wanted to open. I built a command center that consolidates 11,304 calls across 221 destinations into one filterable view, so managers spot a problem in seconds instead of scrolling spreadsheets.

Hourly call volume dashboard with filter panels and new vs missed call chart
  • ▸Stack: Google Sheets, Looker Studio, Apps Script
08Business Intelligence

A business health dashboard that updates itself

I built a single-page ops dashboard that reads live from booking and log data and shows volume, conversion, revenue, and system health, refreshed on its own. It replaced manual weekly reporting with a morning glance.

  • ▸Stack: Looker Studio, Google Sheets
09Business Intelligence

Executive Franchise Performance Dashboard

Owners and head office needed to compare studios without waiting for someone to build a report. I built the dashboards that sit on top of the franchise data system and show each location against the same KPIs.

  • ▸Stack: Looker Studio, Google Sheets
10Operations Architecture

Operational Delivery Framework (NDA-Protected)

As a link building team lead, I turned ad-hoc output into a repeatable process with clear standards, tracking, and quality controls. The team delivers consistent results across clients instead of depending on any one person.

  • ▸Stack: Process design, SOPs, reporting
11Operations Architecture

Organic Growth System for a Solar Energy Startup

I built the growth and link-building system for a solar energy startup from scratch, from content targets through outreach to tracking, so growth came from a system rather than one-off effort.

  • ▸Stack: SEO, content strategy, outreach systems
12Operations Architecture

Evergreen Content Engine

I built the content system behind marianne.click, a set of evergreen pillar articles with a publishing calendar and structured data, designed to rank and monetize through search.

  • ▸Stack: SEO, content systems, schema markup

06 / Credentials

Education and Professional Foundation

Process engineering fundamentals paired with business and analytics training.

  1. BS Industrial Engineering

    University of Santo Tomas

    Systems thinking, process improvement, operations management, and analytical problem solving.

  2. Graduate MBA coursework

    University of Rizal System

    Business analytics, managerial accounting, and business strategy.

Professional Certifications

  • ✓Google Analytics
  • ✓Google Ads Display
  • ✓Digital Marketing Professional Certificate

07 / Contact

Have a manual process that should be a pipeline?

Tell me about the bottleneck: the report nobody wants to build, the data nobody trusts. I'll come back with a practical way to automate it and the results you should expect.

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Call hours · Philippine Standard Time

Monday 8 AM to 5 PM · Tuesday to Saturday 10 AM to 12 PM · 30-minute calls