1. Work with the other team members and team leaders to help the clients to identify opportunities for leveraging clients' company data for them to drive business solutions.2. Working together with the Data Analyst and/or Data Scientist team to Identify and analyze data given by the clients from their databases to drive optimization and improvement from their data.3. Working together or independently in Data Analytic projects.4. Ensure architecture/infrastructure will be robust… Show more 1. Work with the other team members and team leaders to help the clients to identify opportunities for leveraging clients' company data for them to drive business solutions.2. Working together with the Data Analyst and/or Data Scientist team to Identify and analyze data given by the clients from their databases to drive optimization and improvement from their data.3. Working together or independently in Data Analytic projects.4. Ensure architecture/infrastructure will be robust, scalable and support the requirements of business.5. Implementation of Data Pipeline ingestion into Data Warehouse with batch and stream processing capability.6. Cleaning and transforming the data as needed by the users from several areas of business.7. Building APIs that integrate two or more separate applications to help as a bridge for communicating with each other.8. Building Chatbot for the purpose of demo with Machine Learning capability and it can connect to Gmail and Google Calendar using API.9. Conduct and implement research that covers wide range of Infra, Data and Machine Learning tools on Google Cloud.10. Monitor and maintain existing applications.11. First Tier of Troubleshooting during the Implementation.12. Conduct research from which developed prototypes and Proof of Concept.13. Help PointStar achieving Data Analytics Specialization certification from Google Cloud as Google Cloud partner.14. Help Presales team to present about our services or technologies that can be implemented to client’ business. Show less

Designing architectural best practices in the cloud by AWS, Hands on lab with several service in AWS cloud (e.g. EC2 compute, VPC, Load Balancer, Auto Scaling Group, Route53 DNS service, S3 either S3 Standard or S3 Glacier/Deep Archive, and many more), Learn based on use cases

Learning data science methodelogy & tools (such as Python, SQL and databases), data preparation, analysis, visualization, machine learning modeling, basic deep learning, model evaluation and deployment project.