Data & AI · Bali, Indonesia
Hi, I'm Fachrul
Most analysts read the data. I build the systems that make it exist, flow, and mean something.
Driving analytics, automation, and AI in hospitality.
About Me
Numbers and logic just made sense to me growing up. I studied Statistics at Universitas Brawijaya — the computing-heavy track — so I spent a lot of time with R, Java, and C before I touched real data.
When I started my first job and picked up Python, something shifted. I was solving problems that mattered to real people, not just coursework. That's when I stopped thinking of it as a career and started thinking of it as a craft.
I like building things. A pipeline that runs cleanly every morning, a dashboard someone opens before their coffee, a model that changes what decision gets made — that's what keeps me interested.
Why hospitality data is interesting
- ▹ Six hotels, a villa, three residences, 20+ F&B outlets — when data breaks here, people notice fast
- ▹ I built a forecast that determined how many daily workers got hired. That kind of stakes changes how carefully you work
- ▹ Guests touch dining, spa, rooms, events — the cross-touchpoint data is messy and interesting in ways that single-product datasets rarely are
- ▹ Bali means international guests, real seasonality, and patterns you can't just copy from somewhere else
Work Experience
AYANA Hospitality
- ▹ Lead a team of 4 — data analyst, senior AI prompt engineer, AI prompt engineer, AI QA
- ▹ Keep the Airflow pipelines running across PMS, POS, SAP, and several other source systems
- ▹ Run Metabase for 300+ users — effectively the BI platform for the whole company
- ▹ Figure out where AI can actually help operations, then help make it happen
- ▹ Migrating dashboards off MSSQL to PostgreSQL, outlet by outlet
- ▹ Built and maintained the data layer behind the booking engine and loyalty rewards platform
- ▹ Cleaned and deduplicated years of guest profile data — messier than it sounds
- ▹ Automated reporting that used to be done manually every day, week, and month
- ▹ Built an occupancy forecasting model that fed directly into staffing decisions
- ▹ Worked on website funnel analysis and early OpenAI and computer vision experiments
Hacktiv8 Indonesia
- ▹ Taught an online intro Python for Data Science class on the side while working full-time
PT Indonesia Indicator
- ▹ Led a 3-person Social Network Analysis team
- ▹ Did a lot of social media data work — scraping, analysis, brand research, automation
- ▹ First real job where Python became my main tool
Skills & Tools
Data Engineering
Business Intelligence
AI & Development
Things I've Built
Enterprise BI Platform
LiveMetabase for 300+ people across F&B, Spa, Banquet, Finance, and more. If a dashboard breaks, someone notices within the hour. Currently migrating the whole thing off MSSQL.
Data Pipeline Infrastructure
LiveAirflow pipelines pulling from six source systems — PMS, POS, SAP, spa, banquet, and more. When these break, I'm the one who fixes them. Includes scheduling, monitoring, and failure recovery.
Guest Data ETL & Segmentation
LiveYears of guest profile data, cleaned and deduplicated. Then segmented by behavior to support marketing and the loyalty program. The raw data was a mess — getting it usable took a while.
Occupancy Forecasting Model
LiveA model to forecast hotel occupancy from historical booking data. The output fed directly into how many daily workers management decided to hire — so getting it right actually mattered.