Data Analyst Team Leader

Jiani Tian

347-***-**** ******@********.*** *** West 109 St, Apt. 3D, New York, NY 10025

https://www.linkedin.com/in/jiani-tian-440605b5 https://github.com/jianitian EDUCATION

Columbia University, New York, MA in Statistics Anticipated December 2016 Relevant Courses: Machine Learning, Data Mining, General Linear Regression, Nonparametric Model, Bayesian Data Analysis, Probability and Statistical inference, Linear Regression GPA: 3.4/4.0 Tianjin University, Tianjin, June 2014

Bachelor of Mathematics and Applied Mathematics GPA: 3.3/4.0 Relevant Courses: C++, Data Structure, Functional Analysis, Numerical Analysis, Discrete Math, Matlab SKILLS

RStudio (proficient) Python C++ Matlab Mathematics SPSS Microsoft SAS Tableau INTERNSHIP EXPERIENCE

Gradgrid Education (New York) Business Intelligence March.2016- Present

Got and cleaned the data using R; used packages such as dplyr to manipulate raw data; Built an interface using shiny to make it convenient to check the mistakes of the database, URL is: https://check.shinyapps.io/check China Automotive Technology& Research Center (Tianjin) Data analyst May.2015-Aug.2015

Web scraping data with Python; Forecast the future trend of the automotive technology using BP neural network, gray model, Markov Chain on Matlab

Evaluated the change of customers' choices based on the development of automotive technology and reduction of prices using SPSS; wrote a report assessing policies about automobile technology Total (Xi’an China) Data analyst Aug.2014

Established mesoporous oxide desulfurization kinetics model binding properties of the actual desulfurizer by Matlab; estimated parameter and drew breakthrough curve focused on the function of best approximation theory, including Legendre approximation, Chebyshev polynomials approximation calculation; gave a user- friendly interface, intuitive display of function approximation results Academic Programs and Projects

The Implementation of Data Mining &Machine Learning Sept.2015-Dec.2015

Implement six RStudio programs, such as using PCA to represent the images; KNN classification to do facial recognition; a Naive Bayes classifier, classification trees and logistic regression to classify the author from the text; the Perceptron training algorithm; SVM and the AdaBoost algorithm to classify hand-written digits; the EM algorithm to the image segmentation problem

Used many R packages such as ggplot2, shiny, randomForest Meritorious Winner in the Mathematical Contest in Modeling Feb.2014

Model building of“Who is The Best College Coach of All Time?”used NIPLS regression evaluation model based on a single sports field taking time line horizons into consideration; upgraded the model into a comprehensive evaluation model across both genders and all sports fields using factor analysis method; used genetic algorithm to predict who is the next best coach

Team leader, assigned tasks to three team members and combined team’s work into final report The implementation of Algorithms for the Course Data Structure Mar.2012-Aug.2012

Built four C++ programs (threaded binary tree, binary sort tree, undirected graph output path problem and radix sorting). Implemented based on the understanding of certain algorithm. For example, undirected graph output path problem needs implementation of Floyd and Dijkstra shortest path algorithm; quicksort and AVL tree

Completed a graphic user interface with MFC and allowed users to do basic plotting function

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