Credit Scoring MLOps
A credit scoring workflow, from tracked experiments to deployment and monitoring.
MLflow · DagsHub · GitHub Actions View repository
DATA ENGINEERING & ANALYTICS
Rafli Ardiansyah.
Data, made useful.
I'm a data engineer based in Jakarta, working across data systems, analytics, and machine learning.
Outside work: books, nearby cafes, and a good film.
ChronoRoute
A city in motion. Millions of journeys, explored in the browser.
Built with curiosity. Grounded in practice.Selected projects
Featured projects
Selected projects
From data pipelines to the products built on top of them.
ChronoRoute
Exploring New York taxi journeys with SQL and interactive maps, right in the browser.
DuckDB-WASM · NYC TLC · Parquet Open dashboard
PunditStat
An analytics platform for a closer look at Indonesian Liga 1.
Liga 1 · Analytics · Dashboards Open analytics platform
Defect Detection
A computer vision workflow that connects anomaly detection with human review.
Computer vision · Classification · Quality Open detection app
Writing
Latest Notes
Notes from what I'm learning, reading, building, and thinking.
How I Queried NYC Taxi Analytics Data — Directly in the Browser
No dedicated query backend, no analytics API layer — just static files, DuckDB-WASM, and SQL running inside the browser.
5 min readRead story
Building StreamPulse: Lessons from a Batch-First Azure Lakehouse
What I learned from building a cost-aware Azure lakehouse for subscription streaming analytics, from synthetic sources to Metabase dashboards.
4 min readRead story
Building a Football Analytics Platform for Liga 1
How raw match data can become a useful Liga 1 product when the analysis starts from user decisions, not only charts.
2 min readRead story
Why CDC Matters for Real-Time Analytics
CDC matters because analytics often breaks at the point where operational change is treated as an afterthought.
2 min readRead story
Personal Profile
Blending data, design, and engineering.
I connect product thinking with technical execution across data systems, analytics, product decisions, and clear interface craft.
Experience
2+
Years building with data
01
Data engineering
Pipelines, orchestration, data quality, and analytics-ready systems.
02
Analytics
Metrics, dashboards, insight structure, and decision support.
03
AI & machine learning
Turning data experiments into patterns, predictions, and useful product insights.
04
Product thinking
Clear flows, useful interfaces, and decisions shaped by user context.
Experience
Practice. Projects. Progress.
Pyridam Farma (PYFA Group)
Data Engineer
2026
Jakarta
01Daya Group
Data Analyst
2025
Jakarta
02Nanovest
CX Data Analyst
2025
South Jakarta
03Ginee
Growth Analyst Intern
2024-2025
Jakarta
04Bangkit Academy
Machine Learning
2024
Remote
05Torche Education
Data Engineer Intern
2023
Tangerang
06Testimonials
Words from People I’ve Worked With
“Rafli combines leadership, responsibility, and strong communication. Working with him makes the team move with clarity.”
Paula Sugiarto
FS Strategy & Operation
“Rafli brings positive energy, consistency, and a strong willingness to support the team.”
Hendry
Customer Service Lead
“He handled challenges calmly, showed consistency, and supported the team with care.”
Jasmadi R. Beruh
Growth & CX Head