SUMMARY

• Ph.D. in mathematics; Over 9 years of experience and 5+ Years working experience in Data Analysis, Statistical and Mathematical Modeling and Simulation, Algorithms Realization.
• Expertise in SQL queries, SQL server, Stored Procedures, Functions, Triggers and Performance Analysis; Accessing and updating database, creating Indexes, Aggregating tables when required.
• Experience in developing data models and programs which will serve required functionality and custom needs.
• Experienced in working wif R, SAS or Matlab for Statistical Analysis, along wif Microsoft SQL Server for various environments and business processes.
• Expertise in dealing wif large datasets wif R and LAPACK/BLAS. Experienced in multi - core computation and parallel methods to maximize calculation speed and efficiency.
• Deep understanding of Statistical Modeling, Multivariate Analysis and standard procedure. Familiar wifmodel testing, problem analysis, model comparison and validation.
• Expertise in Linux Shell Scripting and Parallel Computing. Familiar wif SSH secure shell and remote computing.
• Good problem solving skills. Expertise in working wif business users and colleagues as part of requirements gathering and converting their needs into technical solution and data models.
• Extensive experience in data visualization including producing tables, graphs, listings, and movies using various procedures and tools to support understanding or explanation of data and also final report.
• Great interest in Data Analysis. Employed data analysis tools in the daily life like bank bills management, grocery lists, schedule planning.
• Experience wif sensor data collection and analysis from experimental structures and real infrastructures. Responsible for data analysis based on sensor data such as tension, displacement, vibration and load. Carried out failure model analysis, fissure development prediction and maximum load analysis.
• Teaching and training experience in: College Algebra, Trigonometry, Calculus me, II, III, ODE and Statistics. Patient teacher and good at interpreting materials to students for fast and easy understanding.
• Strong analytical, communication skills that halps in communicating wif business users, development team and project management staffs.
• Strong multi-task ability and good time management skills. Energetic and enthusiastic for work. Ability to work under pressure while wif high efficiency.

TECHNICAL SKILLS

Database Tools: Microsoft SQL Server 2012/2014, T-SQL

Data Modeling Tools: R, SAS, Matlab

Languages: SQL server, MySQL, R, SAS, Shell Scripting, Matlab, Fortran, VBA

Packages: Microsoft Office 2007/2010, SSH, R Markdown Reporting, R parallel, SAS BI service.

Operating System: Windows 8/7/XP, LINUX/Unix.

Others: MSOffice (Word, Excel, PowerPoint, Access), AutoCAD, Latex.

PROFESSIONAL EXPERIENCE

Confidential, MN

Data Scientist

Responsibilities:

• Worked on commercial data analysis, including data collection, table treatment, database information, problem analysis, solution proposal and implementation.
• Got familiar wif database wifin two weeks. Proposed three ways to deal wif sales data analysis and methods to calculate baseline and promotion sales increments.
• Responsible for data collection, cleansing and variable analysis. Designed technical solution roadmap to deal wif noise in sales data.
• Finished multiple linear or nonlinear regression models for testing case and generated very good predicting scenario test results.
• Worked on the other solution - exponential smoothing methods - and made comparison wif regression methods. Made improvement to triple exponential smoothing and obtained better results TEMPthan old methods.

Environment: R, R Parallel, Teradata, SAS, Python.

Confidential, Irving, TX

Data Analyst

Responsibilities:

• Worked wif data source team and Client systems to obtain data, identify data issues, data gaps, identified and recommended solutions.
• Worked on data manipulation and analysis & accessed raw marketing data in varied formats wif different methods for analyzing and processing.
• Involved in performing extensive Back-End Testing by writing T-SQL queries and stored procedures to extract the data from SQL Database.
• Involved in data pattern recognition and data cleaning. Identify missing, invalid values and outliers, analyze and categorize variables of datasets.
• Worked wif BI team in data investigation, responsible for interpreting data variables, making instructions and also data dictionary.
• Checked data for distribution, classification, correlation and VIF etc, worked wif BI team for Macro-economy variable selection to get deep understanding of datasets.
• Carried out Linear Regression Analysis wif R, investigated on the model for problems like fitting/over-fitting, significance, Multicollinearity, etc. Established our linear model for forecasting.
• Worked on principal analysis and logistic analysis on datasets. Involved in variable selection, model optimization, comparing and validation.
• Involved in trend analysis and segmentation analysis based on 12 years of monthly-based market data. Provided graphic analysis report to illustrate market trend and object segment behavior.
• Preparing model instructions and detailed report for Bureau check, including explaining variables and comparing historical data and change of predictive models.

Environment: R, T-SQL, Teradata, SQL Server 2012, SSRS, Linux Server.

Confidential, Arlington, TX

Research Assistant, Ph.D. Candidate

Responsibilities:

• Experience in simulation code development, data generation, processing and analysis of 3D supersonic flow wif MVG. Carried out following stability analysis for understanding complex problem.
• Worked on clustering analysis on 30,000 data sets and profiling of turbulent flow data. Extended research to topology and physics analysis based on analysis results.
• Built predictive model wif linear regression analysis. Validated models wif model comparison and visualization methods. Compared results against wind tunnel test data and achieved good fitting results.
• Utilized mode recognition and FFT methods to process and filter signal and noise produced in computation results. Carried out time series analysis on time step datasets.
• Carried out ANOVA wif R to keep track of variables of turbulent flow and analyze influence of dimension and position on flow parameters.
• Employed Unix Shell Scripting and Parallel Computing for R and Fortran on Texas Advanced Computing Center(TACC) to guarantee efficient and successful computation of our case.
• Familiar wif computational numerical algorithms. Experienced in advanced high speed computing and efficiency improvement.
• Responsible for data visualization in both graphical form and motion pictures to analyze topology and support future research.
• Employed methods of interpolation, extrapolation and Fast Fourier Transformation to achieve clear working results which achieved quality similarity wif experiment data.
• Teaching Experience: College Algebra, Trigonometry, Calculus me, II, III, ODE and Statistics. Patient teacher and good at interpreting materials to students for fast and easy understanding.

Environment: Unix/Linux, TACC Ranger HPC, R, Parallel Computing, Fortran, Cygwin, Tecplot, AutoCAD, Latex .