Ran Chen's Email & Phone Number

💼 Past Experience

I have a degree in computer science and have been working for 5 years as a software engineer. I havecooked food for many restaurants, and have also worked on a number of machine learning projects. My experience with natural language processing and text search is excellent, and I am familiar with machine learning algorithms such as deep learning and support vectors machines. I am also familiar with soldering and PCB assembly, and I am particularly experienced with developing web apps and using web services.

🎓 Education

Ran Chen's current professional education and work readiness:Ran Chen has a Master's degree in computer software engineering from Carnegie Mellon University. Ran Chen then completed a Master of Computational Data Science from the Carnegie Mellon University Analytics Track in 2013. Ran Chen then had a Bachelor's degree in Computer Software Engineering from Tsinghua University in 2009. Ran Chen is currently a post-doctoral scientist at C threatened Point Laboratories Xiao Wu, a research university in Beijing, China.Ran Chen's work readiness in this field of study is very good. Ran Chen is proficient in Python, has experience working with the MATLAB software and has a strong understanding of modern computed analysis techniques. Ran Chen is especially familiar with advanced methods for data analysis, such as Random Forests, meltdowns, and chaos integration. Ran Chen is also comfortable working with data sets that are relatively small, and can quickly apply common optimization algorithms and machine learning concepts.

💡 Technical & Interpersonal Skills

I am a previous employee at Trulia where I created new Data Science applications, delivered end-to-end solutions, and spread the fun of Data Science here at Trulia. I also have experience in Computer Vision Applications and Natural Language Understanding / Text Search. In my previous work, I have used machine learning and NLP tools to automatically annotate documents based on UIMA, Index the annotations with Solr/Lucence, and use Learn to Rank modules to improve the search results. In my current work, I am responsible for resultDisplayModule and for original data mining methods for process decomposing and reusing. I am also familiar with process modeling language like Petri-net, BPMN 2.0 (Business Process Model and Notation) and algorithms related to such area. I hope to contribute my skills and knowledge to the community and to help others with their data science challenges.