My research portfolio ranges from Default Prediction, Delay Prediction, Churn Prediction, Coupon Recommender System, not just build the model but also deploy it on top of AWS and Spark Integration. Due to that, Payfazz scored each applicant under 1 second, an excellent improvement from 2 days scoring SLA. Thus, loan quality improved by cutting down 90% NPL, saved Billions IDR of productive funds.Working on product team use cases including:1. Credit Scoring2. Churn… Show more My research portfolio ranges from Default Prediction, Delay Prediction, Churn Prediction, Coupon Recommender System, not just build the model but also deploy it on top of AWS and Spark Integration. Due to that, Payfazz scored each applicant under 1 second, an excellent improvement from 2 days scoring SLA. Thus, loan quality improved by cutting down 90% NPL, saved Billions IDR of productive funds.Working on product team use cases including:1. Credit Scoring2. Churn Prediction3. Coupon Recommendation EngineDeploy AI Model on:1. Docker-wise deployment2. AWS LambdaCreate Auto-Retraining Pipeline for Credit Scoring Show less

Working on some client's AI Use Cases such as:1. Credit Scoring2. Recommender System3. Face Recognition4. Fraud Detection5. Demand PredictionDoing AI model deployment on some platforms:1. Cloudera Data Science Workbench2. Spark3. Flask APIHelps Data Engineer improving client's ETL Performance on:1. Spark2. Sqoop3. Kafka4. Hive5. Impala6. Python

I have been one of the PACMANN AI Machine Learning Classes Instructure. We already teach 300++ data scientists, lecturers, and etc. to dive in the Machine Learning field.