Data Mining, Modeling, and DecisionMaking (DMD) from Real-World Behavioral Data

Project Description

A major challenge is howto understand and gain valuable information from data. The DMD will delve into huge, noisy, and complex real-world behavioral data to produce innovative analysis. The DMD will creatively find hidden values to improve the understanding of businessesto drive actionable decisions.

This project will develop analytical solutions that address clients’ real marketing problems. The data needscleansing, merging, data-creation and algorithm-implementation. In addition, we provide novel analytic insights in relation to the client’s business domain and needs, algorithm implementation, etc. For powerful solutions, we will explore advanced analytics such asdata mining/machine learning, neural networks, SVM, random forests, hierarchical Bayes, etc.Predictive modeling includes variable selection, data imputation, collinearity diagnostics, factor analysis, variable interaction analysis, etc.

Responsibilities of Undergraduate Researcher

  1. Collaborates with teammatesto solve business problems using data science tools, packages, and visualization techniques.
  2. Builds analytical models using statistical and data mining methodologies.
  3. Executes standard exploratory and ad hoc data analyses. Interprets and presents results using tools such as PowerPoint or Tableau.
  4. Applies cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process.

Desired Skills and Experience

  1. Knowledge of at least one of the analytics languages / toolkits such as R, Python with analytical extensions, SAS, SPSS or Matlab.
  2. Knowledge of SQL and advanced data processing.
  3. Effective written and verbal communication and presentation skills.

***New students will havedata mining, statistics, and software training.***

Outcomes

During the execution of the project,we expect to provide contributions on the followings:

  1. AttendACES Symposium to givea posterand/or an oral presentation.
  2. One doctoral thesis and at least two undergraduate papers will be published related to this research.
  3. Looking for possible external funding.

Open position

One undergraduate position is available in the project. Looking for someone who desires to be a data scientist, team player, who is creative and eager to learn and teach others.

Project Advisor

Dr. Aera Kim LeBoulluec

Lecturer

Department of Industrial and Manufacturing Systems Engineering

University of Texas at Arlington

500 West First Street, Arlington, TX 76019

Office: Woolf Hall 420 L