JONATHAN A. SEAVER

acfv1s@r.postjobfree.com

770-***-****

SUMMARY OF EXPERIENCE

* ***** ** ******** *** and SQL Server based statistical solutions with big data

9+ years of research and work experience in statistics

First data scientist hired to CareerBuilder

EDUCATION

University of Tennessee, Knoxville, TN

Bachelor of Science in Statistics, May 2009

Major: Applied Business Statistics, Collateral: Logistics

Major GPA 4.0/4.0

WORK EXPERIENCE

nDimension Game Studio Atlanta, GA

Founder, Lead Game Developer & Programmer 09/2013 – Present

Designing, managing and programming an indie PC game due for release summer 2017

Responsible for designing and coding all game logic as efficiently as possible in C++

The Home Depot Atlanta, GA

Senior Data Analyst, Inventory Planning & Replenishment Solutions 10/2014 – 05/2015

Performed daily ad hoc analyses for Inventory Planning & Replenishment Solutions team using Teradata

Created Monte Carlo simulations using VBA to test inventory strategies while incorporating realistic fluctuations within the supply chain with the ability to instantly visualize simulation results

Built visualization tool in Excel to model and break down overly complex proprietary automated ordering logic into an easy to understand interactive graph

CareerBuilder Atlanta, GA

Lead BI Data Scientist 10/2011 – 10/2013

Created and lead very first data science team at CareerBuilder with emphasis on SAS and SQL

Defined and taught SOPs for data cleansing and analysis preparation across data collection teams

Created automated forecasting procedure in R that produces over 50,000 forecasts from time series data sets each month while maintaining an average error of less than 5% per month in 90% of the forecasts

Produced data mining propensity models in SQL to match job seekers with available positions based upon a database of more than 500M historical resumes and job postings

Aspen Marketing Services Atlanta, GA

Senior Statistical Analyst, Advanced Analytics 3/2011 – 10/2011 S tatistical Analyst 3/2010 – 3/2011

Lead analytics team, from raw data to final deliverables, to build a monthly opportunity based CRM marketing campaign for one of the largest global automotive manufacturers

Created logistic regression models to score customers, based upon their propensity to respond to targeted mail offers, then selected those who were most fitting for the marketing campaigns available each month

Lead weekly client meetings and have given on site presentations to client about campaign performance

Created ‘fuzzy matching’ logic in SAS to clean customer addresses when other combinations of variables matched – ultimately eliminating 1% of all the households in the data (which existed due to bad data)

Automated a SAS process to download, import and clean the ~800 daily data files each night

Earned client $3M incremental profit in the first four months of a 12 month campaign. Earnings of that quarter alone paid for the entire annual cost of the program

RELEVANT SOFTWARE & PROGRAMMING LANGUAGES

SAS (Macros/DDE/automation), JMP, NCSS, R, SQL Server, Teradata, SSIS, VBA, SAS, C++

Contact this candidate