I've done a number of similar projects in Australia for goverments, banks and Telco. The projects involved customer's behaviour by analysing their online activity, branch, kiosk, payment and demographic. The projects also created behaviour analysis and also prediction model for their expected behaviour. I can discuss further via Skype or Email.
Below is my background;
Highly effective Technical Leader with over 25 years of experience, Andrew Kim is specialising in data integration, data conversion, data engineering, ETL, big data architect, data analytics, data visualization, data science, analytics platforms, and cloud architecture. He has an array of skills in building data platforms, analytic consulting, trend monitoring, data modelling, data governance and machine learning.
SPECIALTIES
• Data Solution Architect
• Big Data Architect
• Cloud Architect (AWS, Azure)
• Data Modelling
• Data Science (Machine Learning and Statistical Modelling) & Data Engineering
TECHNICAL SKILLS
• Big Data (Hortonworks and Cloudera) – Spark(PySpark, Scala), Kafka, Hive,Impala, NiFi, HDFS, Sqoop, Ranger, Yarn, Solr, SAM, Schema Registry, SuperSet
• Language: Python, Scala, R, JavaScript
• Data Visualization – Tableau, PowerBI, OBIEE, DOMO
• Plunk & ELK Stack – ElasticSearch, Logstash, Filebeat, Kibana
• AWS – S3, RefShift, DynamoDB, Athena, Kinesis, EMR, Aurora, Glue
• Data Science & Engineering – R / RStudio / SparkR Packages: dplyr, ggplot2, stringr, plyr, carrat, SparkR, NLP, tibble, TensorF