- Education
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Major:Information System (2015 - 2017) Northeastern University, Master
Major:Applied Math (2011 - 2015) Fujian Normal University, China
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- Working Experience
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SDET (2017.5-2017.9), JoVE, Cambridge MA
- Worked in Agile environment team, collaborated with senior engineers to test,
debug mobile platform application.Contributed ideas for demonstrating data
on android platform.
Research Assistant (2016 fall-2017 winter term), Northeastern University, Boston, MA
- Conducted data cleaning and analysis and demonstrating the collection of
data. Provided students with assistance in programming debugging and testing.
Software engineer Intern (2015.1-2015.9), Foxit Software, Fuzhou, China
- Working in fast-path, Agile environment team, collaborating with senior engineers to test, debug application, develop UI application based on a platform-independent PDF rendering engine.
Writing technical documentation like workflow diagrams, proposals, SOWs, RFPs and RFIs, etc.
- Skills
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c++, Java, python, C#, CUDA, Parallel computing, R, Fortran, Linux, OpenCL, Keras, Tensorflow,
SQL, Hadoop, Hive, Pig, Html, CSS, Javascript, ASP.NET-MVC
- Activities
- University Mathematical modeling club organizer (2013-2015), Fuzhou, China
Collaborating with teammate practice building industrial models on MATLAB as well as preparing for national Mathematical Modeling Contest.
- Projects
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Google stock price prediction (RNN, LSTM)
- Predict 1 month Google stock price based on past 5 years stock price data
downloaded from Yahoo finance.
Built a recurrent neural network to predict Google stock price trends in one
month based on past 5 years of historical stock price data. Designed data
structure to fit LSTM model. Visualize the result using matplotlib.
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Pictures of Animal species recognition (CNN) (CNN)
- Predict animal species based on 10k labelled pictures.
Built a convolutional neural network which is able to recognize picture contents
of different species of animals based on 10K pictures source data.
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Mandarin hotel/restaurant booking website (ASP.NET-MVC, C#, SQL Server, JavaScript)
- Responsible for parts of the websites for restaurant in a hotel. Specifically, implemented dish menu ordering and news updating function within control, view and model.
- Coding the back-end client side using C# programming language, interacting with database using SQL language.
https://github.com/leetesua/Project_Hangzhou_Hotel_Website.git
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Customers reviews analysis (NLP, Naive Bayes) (NLP, Naive Bayes)
- Predicted the restaurant customers’ positive or negative attitudes based on 1k
labelled customer reviews.
Use nlkt library to preprocess data, use sklearn.countvectorizer to build a Bag of
Words model and eventually implements the prediction with Naive Bayes.
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Android card game 2048 (Android Studio, Java)
- Solely developed android game on windows platform using android studio.
- Designed a 4x4 grid layout of game card. Implemented score merging algorithm by listening to finger motion, calculated the scores and implemented the game termination condition, all using Java programming language.
https://github.com/leetesua/2048.git
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Netflix Movie Recommender System.(MapReduce, Hadoop, Linux Ubuntu, Java)
- Implemented movie recommendation system based on customer watching history.
- Built a Movie score matrix out of datasets based on collaborative filtering, built the movie co-occurrence matrix, merged it with movie score matrix to get a recommended list.
- Connected all the processes using MapReduce jobs and implemented MapReduce Matrix multiplication
https://github.com/leetesua/Netflix-Recommender-System.git
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N-Gram (Google Autocomplete)(JQuery, PHP, Ajax)
- Built a N-Gram library out of the wiki dataset and built the language model based on the statistical probability.
- Generated the data from end users and put it into databases. Retrieve data from the database using JQuery, PHP, Ajax to achieve real-time automatic completion of the search engine.
- See my other project: https://github.com/leetesua
- LinkedIn & Github
- https://www.linkedin.com/in/dexuan-li/
- https://github.com/leetesua