·Research, design, and implement techniques to enhance current predictive modeling methods, such as utilization of in-database technologies and unstructured data.·Utilize R, SAS, and SPSS/SPSS Modeler to create predictive models, perform ad hoc analysis and create reports.·Create Churn models that demonstrated a lift of 5-6 in the top decile and other line/account level model that showed lifts of about 3-4 in the top decile.

· Assisted Professor Meredith Franklin in converting NASA OMI Nitric Dioxide data (originally H5 format) to ASCII files using Matlab coding.· Ran comparisons of different iterations of the OMI data using R coding in order to determine what version would be most appropriate for research study.· Researched sources of environmental status data to provide input of possible additions to the study.

· Utilized various research techniques to compile and analyze data in order to identify market targets and offer recommendations to Project Leaders.· Arranged and presented marketing information to Project Leaders, that was used in presentations to prospective Santiago Solutions Group clients. · Performed various statistical methods, such as correlation and regression analysis, in order to quantify company’s opportunity sizing.· Conducted a statistical study on survey data of AARP members with the goal of determining the demographic of people that are likely to volunteer.· Analyzed AARP customer call center data and created a report outlining the optimal conditions in terms of having more customers open or renew AARP memberships.

· Manage and provide oversight for the leadership board of 10+ members.· Lead efforts to increase organization membership by facilitating social and networking events.· Organize the fundraising efforts of the MFA by seeking out corporate funding opportunities and also applying to on campus support.

· Accessed company databases via SQL queries while operating Teradata SQL Assistant to conduct preliminary data analysis.· Created various churn models using several SPSS Modeler/Clementine algorithms, such as C.5, Logistic, K- Means, Feature Selection, Two Step Cluster, and Generalized Linear Models.· Performed ad hoc and general statistical analysis on consumer behavior and trends.

· Managed all purchasing and related functions for the operating and sponsored research awards for approximately 24 Principal Investigators.· Used spreadsheet and database software to generate reports, reconcile ledgers, prepare accounting forms, and post service unit charges. · Generated proposals for submission to various agencies, while advising faculty of agency rules and regulations.

· Provide support to fellow tutors through updating and organizing Sylvan’s educational materials.· Supervise, interact with and motivate students during instruction hour while they work with equipment and materials. · Having the flexibility and the knowledge to tutor all levels of mathematics including Basic Math, Algebra, Geometry, Trigonometry, Statistics, Calculus, and Linear Algebra.

· Regularly interact with UCLA students on a one-one-one and group basis, to provide assistance and answer questions on course curriculum (Econ 2).· Employ creative techniques to engage students in the problem solving process and help them develop the tools to understand elementary macroeconomics.· Offer personal mentoring during tutoring sessions to establish trust with students and create an environment where we can discuss both academic and non-academic issues.