Between Systems & Stories. Working across data, technology, automation, and education.

References

Experience · Results · Education · listed from most recent

1. [1]

   Current

   Data Technology & Automation — mining industry

   Business intelligence, machine learning, automation, and software for operations across Indonesia, Australia, Canada, Chile, and the United States.

   ASP.NET MVC · Razor · JavaScript/jQuery · SQL Server (SSMS) · ML.NET · Power BI · DAX · Power Automate (cloud & desktop)

   • 55% less manual processing time with a machine learning model for cost categorization, built with the ML.NET framework inside an ASP.NET application
   • Full-stack ASP.NET MVC modules for equipment data, service information, and site operations, used by head office and site teams: Razor and JavaScript/jQuery front ends, server logic, and SQL Server databases designed and managed in SSMS, with data imports from XML, CSV, and Excel and automated calculations
   • 15+ Power Automate flows, cloud and desktop (RPA), for operations in 5 countries, cutting manual effort by over 50% and saving AUD 31,000+ a year
   • 5 countries of operations served by Power BI dashboards (Indonesia, Australia, Canada, Chile, and the United States), both newly built and maintained, on SQL data solutions and advanced DAX measures
2. [2]

   Current

   Language Education & Community — founder

   Built and runs a free, community-driven language-learning platform: curriculum, teaching, website, marketing, content, and operations.

   • 10,000+ followers on the community’s learning channel; 30+ free live sessions with 100+ participants on average and a peak of 130
   • 100+ English classes taught across Beginner, Elementary, and Intermediate levels, with lessons, exercises, assessments, and speaking activities
   • 25+ structured learning materials; the platform’s website, built single-handedly, offers free self-paced resources in 4 languages
   • 3 languages now offered for free, with one additional instructor coordinated
3. [3]

   Data Science & Machine Learning — consulting

   The data science lifecycle in Python, from data preparation to deployment with Django.

   Python · Django · Linear Regression · K‑Means · Classification

   • 90%+ accuracy reached by several of the machine learning models, deployed with Django for end users
   • Scoring system for service satisfaction using Linear Regression and K-Means Clustering, turning raw feedback into clear metrics
   • Classification models that predict when customers are most likely to respond, for better-targeted outreach
4. [4]

   Workshop Facilitation — technology

   Technical guidance and delivery support for online workshops.

   • 70+ participants supported with technical guidance and answers during virtual workshops
   • Delivery of Zoom breakout sessions, online collaboration tools, and team task submissions
5. [5]

   Technical Instruction — university

   Laboratory instruction, learner support, and course materials.

   • 20+ learners taught and assessed in Python and C++
   • 30+ learners supported in Excel, Pascal, Java, SQL, and Microsoft Office
   • Python Fundamentals modules and exam materials written; course delivery run on Google Classroom