My name is Ryan Chui. I am a recent graduate student from University of California, Berkeley (UC Berkeley) in Spring 2017. I am currently interning at Carl Zeiss Meditec Inc. as a Machine Learning Engineering to help analyze OCTA images using machine learning and image processing techniques. I am also serveing as a data analytics committee member at the Data Science Society at Berkeley and work on some side project (https://dss.berkeley.edu/projects/fa17/dressing.html) to help users make better decisions. As the world moves into "Big Data", technology, finance, and manufacturing organizations as well as the government will require skilled Statisticians and Data Analysts to identify this huge amount of data and trends. Therefore, my interest to pursue a career in Data Specialist or Data Analyst is timely since the "Big Data" phenomena is just the beginning. I am inspired by companies that use data to inform product decisions that positively affect user experience. My interests include Machine Learning, Natural Language Processing and Time Series Forecasting. In the future, I'm eager to learn MapReduce, Spark, Hadoop, Hive, HDFS, Spark and Cybersecurity. In my free time, I enjoy reading and playing volleyball.
On April 15, 2017, I have attended Berkeley Data Science Forum hosted by Data Science Society at Berkeley. Thankful for DSSB, I have learned much more about the career growth in Data Science field and explore some the challenges of the industries are facing academically and professionally, ranging of companies from Google, Airbnb, SalesForce, Microsoft, LinkedIn and Quora etc. 
I am excited and I would love to learn more about the career growth and opportunities in the future!
Recent projects are included in this repository. This included independent and coursework projects. Please enjoy and feel free to connect with me on LinkedIn @http://linkedin.com/in/ryanchui15/. Thank you!