About

I am a data scientist who excels at machine learning, exploratory analysis, statistics and data visualisation.

I have a backgound study in statistics, IT and Big Data and currently try to utilise my knowledge to solve real world problem in a variety of domains. I recently, find myself interested in the area of computer vision and machine intelligence. Always, look forward to new opportunity and working in challenging problems with talented people.

I spend some of my leisure time to get fit, eat healthy, travel, watching Netflix. Most of all, I always work on self-development trying to catch up with the industry as well as new technology in the field. Below are some of the courses I have taken in the past

Some of Certificates from Past Courses:

• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
• Neural Networks and Deep Learning
• Convolutional Neural Networks
• Structuring Machine Learning Projects
• Mathematics for Machine Learning: Linear Algebra
• Machine Learning: Regression
• Using Databases with Python
• Hadoop Platform and Application Framework
• Using Python to Access Web Data
• Machine Learning Foundations: A Case Study Approach
• Programming for Everybody (Getting Started with Python)
• Introduction to Big Data (2015)
• Reproducible Research
• Exploratory Data Analysis
• R Programming
• The Data Scientist’s Toolbox