At ADA, I’m a Data Scientist and founding member of the CDP practice, where I built end-to-end implementation frameworks that reduced ramp-up time for new CDP projects.
For a luxury automotive client, I designed an XGBoost lead propensity model on 70K+ leads and built customer ID unification, customer profiles, and activation-ready segments.
For a Korean automotive client, I developed an OpenAI-powered customer insight generator that improved dealer productivity by 25%. I also developed a prediction monitoring and root cause analysis agent that reduced manual analysis from one man-day to under two minutes.
For an Indonesia-based automotive resale company, I independently delivered a CDP implementation covering data workflows, customer unification, WhatsApp reminders, and web analytics dashboards. I’ve also earned Treasure Data Expert certifications and the ADA Azure Award for Best Performer Q1 ’2026.
