Data Analyst

PROJECT

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EDUCATION

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EXPERIENCE

• • • • A Data Programming: Data Database: passionate Visualization: Analysis: SQL and Numpy Server Java devoted Tableau • Python • • MySQL Pandas full-• • Matplotlib C+• • stack Sqlite + Scikit-• R data • • Learn JavaScript • MongoDB Seaborn analyst • NLTK • • • who SQL ggplot HBase • Scrapy • excels Matlab • D3.• js MapReduce in • teams. HTML • Node.• TensorFlow js • Hadoop • Keras • Minitab 614-***-****

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Data Analyst Intern, MoboTap Inc., Wuhan City, China Jun 2017 Aug 2017

• • • Used Obtained extracted Made and algorithm flight Hadoop a dynamic enormous the path with required MapReduce to Markov webpage give flight client data Chain which information by stored a D3.to satisfactory calculate js was in which the MongoDB of distributed civilian showed the analysis weighted database airports a report. world parallel PR by in map value the SQL computing of world for query. civilian each for frame airports airport recent to years which implement combined by can web reflect with Google crawler their their PageRank and busy busy level level. Ohio State University,USA

Master of Science in Data Analytics and Optimization GPA 3.7 Aug 2016 May 2018

Huazhong Courses: Data Visualization, University Applied Regression of Data Science Structure Analysis, and Technology,China and Software Algorithms, Programming: Stochastic Process, Java, GPA Operation 3.Data 6 Mining, Research Machine Methods, Learning Aug Database 2011 May Systems, 2015 Bachelor of Science in Mechanical Design, Manufacturing and Automation

Courses: and Application, Theory etc. of Machines and Mechanisms, Machine Design, Structure of Automobile, Finite Element Analysis Zihao Wang

Male, 09/1993

• • • • • • Music Lending Sentiment technique Utilized Improved spectral Converted Used according Input Calculated on Keras Recommendation One Club 185000 Analysis Logistic images to Hot prediction to to audio highest Loan conduct the deal Encoding image into Regression recent Breach signal for with Cosine model 224 224 pieces accuracy Weibo(imbalanced System to loan method Prediction spectral Similarity training into and data NLP) size to Convolution to Support 88.recorded image pieces transform data and 5% to recommend and feature by using Vector which from ensemble Principal Neural categorical Discrete extraction. Machine were 2007-similar Network learner Components labeled 2017 Fourier data, to music predict with models with (CNN) cross-Transformation satisfactory to Analysis their whether user validation built Random music with by (PCA) there TensorFlow results. Forest satisfactory genres. to for to optimize would 9000 improve and based Adaboost. be songs Mar results. Oct Nov parameters, any accuracy. 2017 on 2017 2017 Jan and loan famous divided breach Apr Nov SMOTE VGG16 201*-****-**** all

• • • Global Applied words Partitioned the Used most Terrorism Regular with Naive famous sentences NLTK Expressions Bayes Attack microblog tools to into Visualization and do the to pieces extracted in filter sentiment China. through data features downloaded classification Jieba using Tokenization TF-by and python IDF obtained and with crawler Word2Vec Stop 80.using Words 5% model. accuracy. Scrapy Filter, from then analyzed Sina Feb 2017 Weibo high which Mar frequency 2017 was

• • Plotted Built which a could website beautiful present on heatmap AWS terrorism Server and using sunburst attack Node.region charts js combined distribution with Tableau Express on the and Web webpage. Seaborn Frame to and show utilized the terrorism D3.js to make attack a trend. global map

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