Data Scientist

• Jun 2022 - Present

- Build Media Segmentation and create standardized campaign dataset to business unit by collaborating with stakeholders to give characteristics provided for every segment based on their behavior - Build Segmentation of Customer who have had credit card, this segmentation will be used to find look alike to customer who does not have credit card. Create Attribute List to provide dataset for Insurance Company At Singapore - Build Media Segmentation and create standardized campaign dataset to business unit by collaborating with stakeholders to give characteristics provided for every segment based on their behavior - Build Segmentation of Customer who have had credit card, this segmentation will be used to find look alike to customer who does not have credit card. Create Attribute List to provide dataset for Insurance Company At Singapore

Officer Internal CDP-Project Data Scientist

• Feb 2020 - Jan 2021

Build Cluster Segmentation to create test and learn campaign For Customer who does not generate 4g in certain month ( Clustering) Build Cluster Segmentation to Socio Economic Segment after pandemic attacked( Clustering) Build 4g Conversion Model with the result of test and learn campaign to find out which campaign that effective to make customer convert to 4g (Uplift Modelling) Build Cluster Segmentation to create test and learn campaign For Customer who does not generate 4g in certain month ( Clustering) Build Cluster Segmentation to Socio Economic Segment after pandemic attacked( Clustering) Build 4g Conversion Model with the result of test and learn campaign to find out which campaign that effective to make customer convert to 4g (Uplift Modelling)

Data Scientist

• Jan 2019 - Jan 2020

-Establish customer segmentations for launching ovo paylater determine maximum ovo paylater each customer (Segmentation) -Establish Top Up Segmentation for merchant which driven customer do topup before transaction on its merchant (Segmentation) -Establish Top Up Segmentation for customer to find out average burn rate and sum of transaction before next topup(Segmentation) -Collaborate with fraud and risk team to Build Fraud Rules into StormBreaker framework for detection customer who potentially fraud activities (Fraud Detection Expert System) -Build Fraud Transaction Model for detection fraud based on customer transaction activities and reduce cost fraud activities (Fraud Prevention ML). -Build Fraud Early Registration Model for customer who potentially will be fraud either after registration of after upgrade to premier (Fraud Prevention ML) -Establish Real Time Processing of Fraud Early Registration Model (Real Time Processing Model) Show less

Data Analyst

• Dec 2016 - Dec 2018

-Build and Establish Predictive Modelling for predicting IHSG will be bearish or bullish. -Build and Establish Predictive Modelling for predicting IHSG will be bearish or bullish.

Assistan Lecturer of Data Analyst

• Mar 2017 - May 2017

Staff internship

• Jun 2016 - Jul 2016