AI Deploy Network
Laila Fitria

AI Deploy Network / Builder

Laila Fitria

Data Science & AI

IndonesiaSeniorAvailable Now

Published evidence

1 AI Deployment

1 publicly identified

01

About Laila

Data Scientist with over 5+ years of experience delivering end-to-end data science and analytics solutions across banking, FMCG, and digital industries. Proven ability to translate complex business problems into scalable data products, predictive models, and decision-support systems that drive measurable business outcomes. Strong expertise in advanced analytics, machine learning, and cloud platforms (GCP), with hands-on experience in deploying, monitoring, and optimizing production-grade models. Recognized for collaborating with cross functional stakeholders, aligning analytics initiatives with business and product strategy, and driving continuous improvement through data driven insights

Professional profile

Location
Indonesia
Time zone
Asia/Jakarta
Work mode
Remote
Availability
Available Now

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

Reported business outcomes
  • Hours Automated40 hours

    period not specified

    Automated 40 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Laila builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

Forecasting & Predictive Modelling

Builder-listed deployment types

  • Forecasting & Prediction

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

AI-Powered Demand Forecasting Platform for FMCG Supply Chain Planning

Designed and deployed a cloud-based AI demand forecasting solution using Google Cloud Vertex AI and BigQuery to improve demand planning, financial forecasting, and business decision-making for a leading FMCG organization.

40 hours automated

Food Processing · Forecasting & Prediction

View Deployment

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

  • Forecasting & Prediction1 record

Builder declared

  • Forecasting & Predictive Modelling

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

  • Apache Beam1 record
  • BigQuery1 record
  • GitHub Actions1 record
  • Kubernetes1 record

Builder declared

  • Adobe Experience Platform AI
  • Anthropic Console
  • Anthropic Workbench
  • Apache Airflow
  • CapCut
  • Claude Code
  • ClickUp
  • Docker
  • Google Analytics
  • Google GKE

07

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Food Processing

1 published Deployment

Banking

Builder declared

Data & Analytics

Builder declared

Mining & Metals

Builder declared

Procurement

Builder declared

Retail

Builder declared

08

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Verified Builder

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works
Verified

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

How this is verifiedWhat the platform has established, and what remains builder-declared.
Identity and organisation
Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments
An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes
Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence
Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency
Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability
Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Professional record and further evidence

Client Portfolio

Portfolio started

Ready to discuss your AI implementation?

Tell Laila Fitria what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.