Senior VP of Data · Consultant · Educator
I turn messy data into
useful decisions.
I’m Rendy, a data and AI leader based in Jakarta. I build teams, platforms, and intelligent products that turn technical capability into measurable value.
Data gives me the pattern.
Photography gives me the pause.
01 / ABOUT
I build with data.
I lead with clarity.
For more than a decade, I’ve worked across software engineering, data platforms, analytics, and AI—from building Traveloka’s data platform through 10,000× growth to leading company-wide AI adoption at Evermos. Alongside my executive role, I’m building Insinyur Data, a consultancy that helps organizations make data and AI genuinely useful.
Outside the org chart: a learner, a father, a runner, and someone who brings a camera along.
02 / WHAT I DO
Building the systems behind better questions.
Lead
Data organizations that connect technical excellence with real business outcomes.
Build
Reliable platforms, analytics systems, and practical AI for teams at scale.
Advise
Practical data and AI consulting through Insinyur Data, grounded in a decade of operating experience.
03 / PRINCIPLES I RETURN TO
Start with impact
I work backward from the outcome: a better decision, lower cost, faster operation, or stronger customer experience. Technology is the means, never the scorecard.
Build for leverage
The best systems multiply a team’s ability. I look for platforms, automation, and operating models that make good work easier to repeat at scale.
Grow capability
A mature data organization does more than answer requests. It teaches the wider business to ask better questions, experiment, and act with confidence.
Earn trust by design
Quality, reliability, security, governance, and responsible AI belong in the architecture from the beginning—not in a cleanup phase.
Experiment with discipline
I pair curiosity with measurement: test ideas, define evidence, learn quickly, and scale only what proves useful.
Practice the craft
I care about the details beneath durable outcomes. Craftsmanship, resilience, and a growth mindset are how ambitious systems survive contact with reality.
04 / THE PATH SO FAR
Evidence,
not adjectives.
Senior VP of Data
Leading company-wide AI adoption, delivering a 1.88× quarter-on-quarter productivity improvement.
Building customer-facing AI products and exploring RAG, organizational memory, LLM evaluation, and agentic workflows.
Raising data fluency through classes, coaching, and a company-wide maturity index.
VP of Data
Turned a reactive support function into a proactive team producing around 60 insights per quarter.
Created an analytics framework that grew measurable business impact 7× year on year and raised stakeholder NPS from 46 to 81.
Cut infrastructure cost by 50%, grew experimentation past 100 tests a year, and established enterprise security and governance.
Head of Data
Delivered recommendation, lead-scoring, and AI learning products—including Roboguru, which reached a significant volume of online sessions.
Reduced infrastructure cost by 40% and tackled data quality at its source through schema review and a redesigned tracking SDK.
Senior Data Manager
Built the data warehouse from scratch and introduced modelstorming, reducing data-team effort by 70%.
Automated lead decisions and assignment, making campaign operations 20× more efficient while enabling more than 20 experiments each month.
Data Engineering Lead & Architect
Built batch and streaming platforms from scratch and supported 10,000× data growth over three years.
Created real-time infrastructure capable of two million writes per second and resilient customer-data services for intelligent products.
Migrated Hadoop pipelines to serverless GCP architecture and built a warehouse serving around 25 business units.
Project Management Office
Supported a multi-year warehouse program for a major Indonesian telecommunications operator.
Managed risks across hundreds of upstream data sources with a focus on architecture, quality, and reliability.
Georgia Tech
MSc in Computer Science, Machine Learning specialization · GPA 3.90/4.00 · 2024
Bandung Institute of Technology
BE in Informatics, cum laude · GPA 3.90/4.00 · 2013
05 / COMMUNITY, SPEAKING & RECOGNITION
Sharing the work.
Earning the craft.
I learn in public—through mentoring, teaching, and conversations with the people building what comes next.
Mentor, Google for Startups Accelerator
Indonesia and Southeast Asia
Google Developer Expert
AI and Cloud
Building Production-Ready AI Agents
Charting the Path to Ethical and Effective Data and AI Governance
Traveloka Keynote
Google Cloud Generative AI Leader
AWS Certified SysOps Administrator – Associate
2nd Place Best Student, Informatics Engineering
Bandung Institute of Technology
Bronze Medal, Programming Competition
3rd Place, National Programming Competition
SANUR BEAUTY · 2025 Look closely. The signal is often quiet.
06 / AWAY FROM THE SCREEN
Photography is how I practice attention.
Data asks me to find patterns across millions of rows. Photography asks me to be present for one frame. Both reward patience, curiosity, and a willingness to look again.
See what catches my eye ↗07 / CONSULTING & TEACHING
Insinyur Data
Helping organizations turn data and AI ambition into useful systems, capable teams, and measurable outcomes.
Work with us ↗Industry Lecturer at ITB
I teach the Big Data course at Bandung Institute of Technology, bringing current industry practice into the classroom.
Bandung · IndonesiaShutterMor
Learn photography by getting thoughtful, AI-powered feedback on every image you make.
Improve your next shot ↗