Weiting Zhan
Hadoop Developer @Satellite Healthcare / WellBound
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WORK HISTORY
Hadoop Developer @Satellite Healthcare / WellBound
San Jose, CA, US
EDUCATION
Nanjing Tech University
Bachelor's degree, Chemical Engineering
University of Chinese Academy of Sciences
Master's degree, Material Engineering
University of California, Santa Cruz
Master's degree, Computer Engineering
UC San Diego
Visiting Scholar, Solid Oxide Fuel Cell
Shanghai University
Master's degree, Physics
ABOUT WEITING ZHAN
Big Data Technologies: HDFS, MapReduce, Spark, Kafka, HBaseProgramming Language: Python, SQL, Java, C++, scala, JavascriptMachine learning and AI Algorithms: Regression Analysis, Logistic Regression, K-Nearest Neighbor (KNN), SVM, Random Forest, Gradient Boosting, K-Means Clustering, PCA, Neural Networks, CNN, RNN, LSTM, Bayesian Analysis, Naïve Bayes Classification, Stochastic AnalyticsIDE: Eclipse, Jupyter Notebook, IntelliJ, PyCharm, SpyderHadoop Distributions:Cloudera, HortonworksNOSQL Technologies: HBase, MongoDBOperating systems:Windows 10/Vista/XP, LinuxBig Data Platforms: AWS, Google CloudVisualization: TableauOther Tools: GIT, Shell ScriptingPython Web Service Development Jun. 2019- Sep.2019 Designed and implemented an interactive web page for users to search for food and purchasefood. Docker/ HTML/Django Building a REST API with uploading and viewing images Created admin site by using Django and store data to MySQL. Developed with test driven development (TDD) and unit testJava Web Development – Recommendation Engine for Events Sep. 2018- Sep.2019 Designed and implemented an interactive web page for users to search events and purchasetickets. HTML/CSS/JavaScript Improved personalized business recommendation based on search history and favorite records Used Java servlets with RESTful APIs to handle HTTP requests and responses and MySQL tostore business data fetched from Ticketmaster API,Deployed to AWS EC2Computer Vision project : Optical Character recognition Sep. 2018- Jun.2019 Built an IOS Application for blind user. Swift Recognized character and items in an image by using Firebase MLkit API Read the detected character and items for blind user by using AVFoundation framework Evaluated the accuracy of character recognition on images. Python/OpenCVNatural language processing project: Chat bot Sep. 2017- Jun.2019 Trained a chatbot on Cornell Movie Corpus (220,579 conversations) and daily dialog corpus(13,118 conversations) Python/Tensor Flow/ GPU Improved the grammar and naturalness of the chatbot by optimizing the learning rate and thenumber of hidden layers
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