WeiLinSaw.

Specialist Data Insights @ BHP

MComp @ NUS•5y 10m building data + software things
profile.json

  • 2020 - PresentSpecialist Data Insights @ BHP

// Current Focus

Optimizing Marketing & Maritime value chains through advanced digital transformation

// Tech Stack

  • Python / .NET C# / Angular / Streamlit / SQL
  • Azure / Snowflake / AWS / Terraform
  • Splunk / Tableau / Aternity / Power Platform
  • GitLab / Bitbucket / ETL / Applied AI

// Interests

  • UX design for clear, intuitive user experiences
  • Software design with strong structure and maintainability
  • Building useful products from concept to implementation
weilin@hello:~$cat project_timeline.log
Project 09
In Progress

BMS Portside Inventory Tool

Building an inventory workflow tool to improve visibility of portside stock movements and operational tracking.
Value

Expected to reduce manual reconciliation effort and give teams faster access to inventory status and exceptions.

Tech Stack
PythonSnowflakeStreamlit
Project 08
Collaboration

AISG

Ongoing collaboration focused on applying AI capabilities to practical business and analytics use cases.
Value

Current focus is shaping a solution that can translate AI experimentation into usable business outcomes.

Tech Stack
Python
Project 07
Delivered

AI Extraction Insights

Built an AI-powered document processing pipeline to extract and structure key information from unstructured documents, enabling enhanced searchability and insights generation across the enterprise.
Value

Transformed unstructured document data into actionable insights, improving information accessibility and decision-making across teams.

Tech Stack
Azure Document IntelligenceAzure Logic AppPower Platforms
Project 06
Delivered

Invoice & Contract Validation Tool

Built an AI-powered validation and comparison tool using Snowflake Cortex and Streamlit, enabling users to automatically detect discrepancies between invoices and contracts. Integrated a conversational AI bot allowing business users to query and interrogate documents in natural language.
Value

Reduced manual contract review effort and minimised billing discrepancies by surfacing AI-detected mismatches and enabling non-technical users to self-serve document insights through natural language interaction.

Tech Stack
SnowflakeSnowflake CortexStreamlitPython
Project 05
Delivered

Iron Ore Optimisation & Scheduling Tool

Delivered end-to-end involvement across the full project lifecycle — from business requirements gathering and stakeholder engagement to development and deployment — optimising sales planning and scheduling decisions across the iron ore outbound value chain through data transparency and analytics.
Value

Improved decision-making quality across the iron ore supply chain by surfacing actionable data insights, enabling more efficient and informed sales planning and scheduling.

Tech Stack
C# .NETAngularAWSTerraform
Project 04
Delivered

Assay Analytics Tool

Built a machine learning model to analyse historical lab performance data, generating recommended lab selection decisions to support the sales operations team. Delivered across the full stack — from data pipelines and ML modelling to backend APIs and frontend interfaces — within an agile, cross-functional team environment.
Value

Reduced value leakage in copper concentrate sales by replacing manual, experience-dependent lab decisions with data-driven ML recommendations.

Tech Stack
PythonC# .NETAngularAWSTerraformScikit-learn
Project 03
Delivered

Copper Concentrates Optimisation & Scheduling Tool

Developed a data-driven scheduling tool to optimise copper concentrate shipping routes and reduce manual, non-value-adding tasks. Involved across the full stack — from ETL pipelines and data science modelling to frontend and backend web development — while collaborating with business owners, analytics, and algorithms teams in an agile environment.
Value

Drove measurable revenue uplift by optimising shipping schedules, and improved operational efficiency through automation, including a monitoring bot for solution health tracking.

Tech Stack
PythonETLC# .NETAngularAWSTerraform
Project 02
Delivered

Data Analytics & Visualisation

Spearheaded adoption of Aternity across cross-functional teams by engaging stakeholders, developing tailored use cases, and building Tableau dashboards to communicate device and application performance insights.
Value

Accelerated enterprise-wide tool adoption in a short timeframe by bridging the gap between technical data and business stakeholder needs.

Tech Stack
AternityTableau
Project 01
Delivered

Data Analytics & Visualisation

Build and maintain Splunk dashboards, queries, and alerts to surface operational insights from large-scale log and event data.
Value

Transformed raw machine data into actionable intelligence, enabling faster incident response and data-driven decision-making.

Tech Stack
Splunk