C H E N YA N G RAN (412)863-3625 [email protected] www.andrew.cmu.edu/user/cran OBJECTIVE To obtain a Software Engineer Internship utilizing my skills in software engineering, big data analysis and web development. EDUCATION Carnegie Mellon University(CMU), Pittsburgh, PA May, 2016 ➢ Master in Language Technologies Institute, School of Computer Science ➢ Courses (Fall 2014): Search Engines(Information Retrieval), Cloud Computing, Design and Engineering of Intelligent Information System, New Technologies and Future Markets University of Electronic Science and Technology of China(UESTC) July, 2014 ➢ Bachelor in Computer Science. GPA:3.4 SKILLS Java Python PHP MySQL Linux Cloud Computing(AWS) Information Retrieval Web development MapReduce EXPERIENCE Research Assistant in online social network analysis, UESTC 2012.04 - 2012.08 ➢ Participated in a key project subsidized by the National Natural Science Foundation of China ➢ Developed a spider for Weibo(Chinese version of Twitter). ➢ Employed R & Python to analyze the connections of users of Sina Weibo ➢ Built a friend recommendation system via hadoop PROJECTS Twitter Analytics Web Service ➢ Final project of Cloud Computing. Developing a web service for Twitter data analysis on AWS. Big Data Analysis on Cloud(AWS) ➢ Developed a MapReduce program to analyze hourly and daily page views of Wikipedia using AWS’s Elastic MapReduce. ➢ Developed programs to create and control a cluster and load balancer via AWS api. Search Engine and Social Network Crawler ➢ Built a search engine which implements multiple models including boolean retrieval model, BM25 and Indri ranking algorithms. ➢ Constructed queries to explicitly convey information need. ➢ Developed a crawler for Weibo, Chinese version of Twitter. A PKI-based Shopping System ➢ Led a team to build an online shopping system via php+MySql using Public Key Infrastructure ➢ Programmed the system’s back-end, configured certificates, and designed database Web Apps on Facebook and other social networks ➢ Developed several Apps on Facebook and RenRen using their platform APIs.
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