Chun Ma

Green Card holder Do not need sponsorship

ac2hnr@r.postjobfree.com Los Angeles, CA, 90803 619-***-**** www.linkedin.com/in/chun-ma-734963110

PROFESSIONAL SUMMARY

Results driven and self-motivated data scientist and programmer with 7 years of hands-on work experience.

Expert in advanced statistical analysis, database, machine learning, programming and modeling.

Expert in providing valuable insights from big size data and presenting to non-technical business audiences.

Expert in identifying business values and developing efficient solutions to improve business success.

Expert in driving business effectiveness through computer science and data science applications.

MAJOR SKILLS

Programming (R in R Studio, Python, SAS), Database (SQL,SSIS,SSRS), Mathematics and Statistics, Machine Learning and Cloud Computing(Microsoft Azure, AWS), Predictive Modeling, Communication and Interpersonal skills, Data Visualization (ggplot2, Matplotlib, Tableau, GIS), Organization, Management and Leadership skills.

EDUCATION

Ph.D. Modeling and Data Integration in Environment Science 2011

oUniversity of Wisconsin- Madison and Nankai University Joint Program

M.S. Data Analysis in Environment Science 2008

oNankai University

EXPERIENCE

Molina Healthcare, Inc., Long Beach, CA 03/2017 to present

Data Analyst and Programmer on Predictive modeling

Developed time series predictive models (which is supervised learning in machine learning) by using Tseries, forecast, ggplot2, broom, TSA etc. packages in R with monthly, weekly retrospective and projective data for STAR projections for HEDIS (which are healthcare quality measurement tools).

Evaluated the best model by comparing Arima, AutoArima, Sarima for time series model and automated the whole process by using flashdashboard, Rmarkdown, Rbookddown, R sweave in R for reproducible work.

Visualized and operationalized R data in Power BI for time series analysis.

Expertise in R programming, R Studio interface, R packages such as Flexdashboard, Shiny, rattle, TWANG package, taskscheduleR, AppliedPredictiveModeling, knitr, tm packages, etc.

Conducted data mining, cluster, classification and regression tree (CART), and random forests with a graphical user interface Rattle package in R.

Converted SAS code to R code, and transferred data to R.

Developed HEDIS/CAHPS related reports using SQL Server Reporting Services.

San Diego State University, San Diego, CA 04/2016 to 01/2017

Research Associate on Modeling and Data Integration

Conducted data preparation, data cleaning, data exploring, data mining, data visualization, outlier detection, variables selection with SQL, R programming, and Python.

Performed statistical analysis, statistical predictive modeling, and other mathematical modeling with R and Python, lead tasks in activities related to data and mathematical model integration.

Converting large scale data sets, and dealing with data from satellites, sensors, and various data products.

Built simple liner regression model (SLR) and multiple linear regression model (MLR) and validate the models.

Expanded business by presentations, reports and visualized data for technical and non-technical audiences.

The Henry M. Paulson Jr. Institute, Chicago, IL 01/2015-07/2015

Data Scientist on InVEST Model simulation

Implemented data manipulation by SQL, and data cleaning and preparation, and performed variable selection and model validation by R in R studio and InVEST model.

Performed descriptive statistics, exploratory analysis, linear regression, non-linear regression, time-series analysis and forecasting with R by using dplyr and TSA packages.

Interpreted data from primary and secondary sources using statistical techniques and provided ongoing reports.

Worked with internal and external partners to understand project requirements and strategy, and support those goals with modeling and analytics

Communicated results through presentations, publications, reports at international conferences.

Carnegie Institution for Science at Stanford University, Stanford, CA 12/2013 – 02/2016

Visiting Scholar on Data Science for Ecosystems Analysis

Extracted knowledge and insights from data on remote server, query data from SQL database.

Built linear and non-liner models and conducted data classification, regression, clustering and visualization with R programming.

Conducted analysis based on mathematics and statistics such as frequency distribution, analysis of variance (ANOVA), correlation techniques, and factor analysis.

Implemented the machine learning algorithm to analyze ecosystems, build, test and validate model.

Collaborated with other experts on the interdisciplinary team to solve problems using data science approaches and techniques.

Ministry of Transport, China 07/2011 – 12/2014

Data Scientist on Environmental Analysis Systems

Developed and carried forward a coherent research strategy in predictive modeling, statistical learning and environmental information systems.

Extracted, compiled, and analyzed data to generate reports by R and Python.

Supervised and mentored junior scientists in research projects related to PCA, CCA, linear and non-linear model, and decision tree; test, validation, and evaluation of models.

Managed databases and data operation team and initiated connections with internal departments and centers, external institutions, universities and professional organizations to actively foster collaboration.

Presented and communicated the data insights in publications.

Nankai University 07/2008 – 07/2009

Research Assistant on Environmental Data Science

Conducted innovative data-driven research into complex scientific problems, ideas, concepts and theories and applied predictive modeling and other appropriate mathematics-based methodologies with SAS, SQL and ArcGIS.

Worked with other team members to complete special projects and achieve project deadlines.

Conducted descriptive statistics, linear regression, nonlinear regression and predictive analysis with SAS and R programming.

Nankai University 09/2006 – 08/2007

Research Assistant on Data Analysis

Implemented statistical analysis of retrieved data, experimental data and model output data with SAS and R.

Conducted data review and data cleaning of raw data.

Performed daily data queries and prepared reports on daily, weekly, monthly, and quarterly basis.

ACCOMPLISHMENTS

33 peer-reviewed papers based on data analysis and modeling; 12 data-driven research projects;

23 presentations on international conferences; Chapters for 7 books on science and engineering.

CONTACT INFORMATION

ac2hnr@r.postjobfree.com Los Angeles, CA, 90803 619-***-**** www.linkedin.com/in/chun-ma-734963110

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