Senior Data Analyst Resume Salem region, North Carolina - Hire IT People

TECHNICAL SKILLS:

Excel: 4 years of experience.

R: 10 years of experience.

Python: 2 years of experience.

SAS: 10 years of experience. Enterprise Guide, Enterprise Miner, long - time use of the SAS coding window (programmer knowledge of SAS PROCs and the SAS Data Step), SAS Visual Analytics.

Tableau: 4 years of experience. Tableau Public, Tableau Prep, Tableau Desktop, Tableau Online, and Tableau Server.

WORK EXPERIENCE:

Confidential, Salem region, North Carolina

Senior Data Analyst

Responsibilities:

Worked in database management (DB2), machine learning, analytics, lead scoring, and predictive modeling.
Utilized cluster analysis, neural networks, random forests, boosting, bagging, and model ensembles.
Produced Tableau dashboards for display on Tableau Server. Used Knime Desktop software for workflows and pipelines.
Created traditional and ad hoc reports (using SQL, R and Excel). Queried database using SQL.
Developed Business Intelligence (BI) marketing statistical models to gauge the response to promotional materials sent to potential donors (a logistic regression model was used to generate a score as to how likely a donation would be made in the next giving cycle). Used unaggregated data sets of approximate size 30 million records with 200 attributes. ETL was achieved through the RODBC package and SQL.
Developed marketing statistical models to gauge the likelihood of a severely lapsed donor (non-profit clients) actually reactivating (making donations again) after a lapse of at least 3 years and potentially as many as 10 years. Models used included neural networks, gradient boosted models (gbm package in R) and extreme boosting (xgboost package in R). Additional demographic features (173 features in all) were obtained from the Acxiom commercial database, used with the industry standards of recency, frequency, and monetary derived metrics (rfm data which was transformed from totals to rates).

Confidential, Greensboro, North Carolina

Graduate Instructor

Responsibilities:

Responsible for teaching introductory college-level statistics course to 280 students.

Confidential, High Point, North Carolina

Business Data Analyst

Responsibilities:

Supported day-to-day business with Confidential and database responsibilities.
Successfully worked with the team to meet goals of management.

Confidential, Durham, North Carolina

Statistical/Bioinformatics Contractor

Responsibilities:

Determined the ability of biomarkers to discriminate between chemicals with different modes of action using linear discriminant analysis (user R and SAS)
Carried out library and web-based research using resources including the National Center for Biotechnology Information.

Confidential, Chapel Hill, North Carolina

Statistical Contractor

Responsibilities:

Performed Confidential (SAS and R) and statistical analysis for the MASAES asthma study.
Produced data files on air quality for longitudinal data analysis (several million records).

Confidential, Blacksburg, Virginia

Statistical Consultant

Responsibilities:

Consulted on projects from the Edward Via School of Medicine in Blacksburg and different schools and colleges within Confidential .
Worked with the math education center at Confidential, cleaning data, fitting models, and producing tables (SAS and R).

Confidential, Blacksburg, Virginia

Teaching Assistant

Responsibilities:

Taught a recitation section of Introductory Statistics, discussing main lecture material and presenting background material.
Assigned and graded weekly quizzes and assisted the class professor.

Confidential, Durham, North Carolina

Statistical Contractor

Responsibilities:

Carried out Confidential and statistical analysis for the DEARS study.
Performed data validation, data entry, and basic statistical analysis using SAS.

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Senior Data Analyst Resume

Salem Region North, CarolinA

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