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