Data Analyst Machine

Jiacheng Xue

951-***-**** *******@*****.***

EDUCATION

University of California, Riverside Dec 2021

PhD candidate in Applied Statistics

Research Area: Mixture Model, Machine Learning, Data Science, Bayesian Methods University of California, Riverside Jun 2018

MS Statistics, GPA:3.94/4.0

Tianjin University of Finance & Economics Jun 2016 BS Actuarial Science, GPA:89/100, Ranking:1/80

PROFESSIONAL EXPERIENCE

Data Science Intern, Liberty Mutual Insurance Jun 2020-Sept 2020

· Analyzed underwriter’s behavior using machine learning methods including elastic net GLM and XG- Boost in software R and finalized the model with 82% AUC

· Implemented dimensionality reduction based on the feature importance matrix

· Provided valuable deep insights on Schedule Mods Usage by interpreting underwriter’s judgement and identifying the type of accounts with Schedule Mods Usage

· Created a Shiny App to visualize residual with respect to individual variable to check model performance Data Analyst, DataNEdu Jul 2017-Feb 2018

· Utilized Python to collect data through the method of web crawler and managed data cleaning & unification by regular expressions in Python

· Employed machine learning algorithm including Lasso Regression, Random Forest and SVM in order to predict admission rates for international students and stabilized the accuracy rate of predicted admission rate above 75%

· Reduced the workload regarding school selection for international students RESEARCH & PROJECTS

Application of Machine Learning Based Model on Regression Mixture Jun 2020

· Derived a machine learning embedded EM algorithm for mixture of regression modelling based on Neural Network in the R software

· Enhanced the clustering accuracy of classic mixture of experts (ME) up to 9%

· Reduced the prediction error rate of mixture regression by 15% comparing with classical EM algorithm TECHNICAL STRENGTHS

Software & Tools R, Python(Tensorflow, Keras, Scikit-Learn), SAS, Github, SQL, LaTex, PowerBI Language Mandarin(Native), English(Proficient)

PUBLICATION

J.Xue, W.Yao. Neural Network Embedded Semiparametric Mixtures of Regressions with Varying Mixing Proportions. (Under Review)

J.Xue. The Study on Applied Situation and Development Prospect of Online Taxi Mobile App in Tianjin. CSTJ.ISSN 1671-5780, Issue 16, 2015.

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