Todd Crawford4001 9th St N Apt 1323Arlington, VA 22203Mobile: +1 785 608 3612todd.stats@google.com

Range of Experience

Mr. Crawford has demonstrated experience in using various statistical tools (e.g. SAS, R, Stata, etc.) to manipulate and analyze large and small data sets. Mr. Crawford’s experience includes working with databases (SQL), in siloed and enterprise environments, to produce useful summary tables, summary statistical information, and linear statistical models for informative or predictive purposes. He has experience in data manipulation and transformation (mapping) in addition to creating statistical graphics and visualizations. Mr. Crawford has completed an end-to-end deployment of SAS’s Enterprise Business Intelligence Server and is a SAS Architect. Mr. Crawford has intimate knowledge of the SAS Fraud Framework. Mr. Crawford’s past experience and quantitative skills have provided him the opportunity co-author and collaborate when producing publications. He has also taught statistics courses to college undergraduates.

Professional and Business Experience

Analytics Manager – PwC Advisory

June 2014 - Present

Mr. Crawford works on various proposals and internal firm initiatives. Mr. Crawford was hired as part of an effort to build out a formally structured public sector analytics practice. Mr Crawford is responsible for working with the various account teams across sectors (health services and benefits, science and infrastructure, homeland security and law enforcement, intelligence, and financial services) to coordinate with senior leadership regarding analytics strategies for how to best bring PwC analytics capabilities to market. This may include identifying how to enhance analytics offerings within existing clients to identifying completely new opportunities previously not considered.

Mr. Crawford supports a government client that focuses on personal protection and criminal investigations. He works closely with the CFO to help explore and examine their internal financial data. Mr. Crawford uses tools such as SQL and SAS to do exploratory analysis to help the client understand underlying issues in data, business processes, and policy. The PwC team is working closely with the CFO to improve the overall financial management of the organization by making improvements in technology, policy, and daily business processes.

Mr. Crawford supported a project to prepare reports as part of an HR process for placing government officials on new tours of duty. Not only did Mr. Crawford prepare reports, but at the same time also gathered information for an analytics assessment to help the client understand where opportunities and risk may lie for future “bidding seasons”. He helped prepare a presentation to present to the client that would educate them on analytics as well as help them understand what they would need to do in the future to expand the analytics capabilities and increase the effectiveness of their HR bidding process. This involved not just explaining processes, but also

presenting ideas for possible tools and analytics methodologies as part of the Bureau’s larger strategic goals.

Advanced Analytics Manager – Deloitte Transactions and Business Analytics LLP

June 2013 - June 2014

Mr. Crawford worked on a project to enhance Medicare and Medicaid care and coordination. The project is part of a larger effort to innovate Medicare and Medicaid services and benefits. Mr. Crawford is responsible for delivering quarterly reports that allows the client to maintain proper oversight and gauge progress. He managed a team responsible for establishing data management capabilities as well as gathering and writing business requirements to ensure easily repeatable and high quality deliverables.

Mr. Crawford worked on a corporate investigation of a large government contractor. He analyzed raw accounting data that relates to government billing. This involved going through tens of thousands of billing records and identifying which transactions met rules that were provided by government and/or legal counsel. Exploratory analysis was performed on provided billing data in the form of summary tables and data visualizations. SAS was used as the tool to perform all analysis and join data over multiple fiscal years.

Data Analytics Senior Associate – Deloitte Financial Advisory Services LLP

November 2010 - May 2013

Mr. Crawford worked for a government agency, in the field of advanced analytics that deals with financial crimes and intelligence. He was the SAS Architect responsible for deploying the SAS Enterprise Business Intelligence (EBI) server. EBI server installed on a Red Hat (5.8) operating system. Integrated EBI server with Oracle (11g) database and active directory/LDAP. The SAS server included the full suite: Enterprise Guide, Model Manager, Enterprise Miner, Financial Crimes Monitoring (FCM), Social Network Analysis (SNA 2.3 M1), etc. The web applications required JBOSS (enterprise version) web container. Mr. Crawford was the liaison between an advanced analytics team (business team) and an infrastructure team (technical team). Managed a small team to fulfill task order and deliverables.

Mr. Crawford worked with an IT infrastructure team, responsible for systems engineering, during the process of building analytics application server. Integrated analytics application server with other enterprise layers (web layer, database layer). He assisted in design and implementation of networking and communication between servers and servers and users and integrated applications across different software stacks, within and between enterprise layers.

Mr. Crawford worked on an IT Risk Assessment project for a large government organization to assess current data storage capabilities. The government agency wanted to know how their data warehouse compared to industry best practices. He compared the data warehouse, of the government agency, to current best practices and highlighted differences and assessed data analytic capabilities of the current data warehouse. The agency was interested in reducing financial risk. The deliverable

was a document that gave a high level overview to upper executives and directors for review. The overview was going to assist them on how to move forward.

Mr. Crawford worked with a large bank to review millions of financial transactions related to mortgage back securities trades. This required uploading raw trade files to an SQL database to analyze the trade data. He had to go through millions of transactions and identify which transactions met rules that were provided by the bank. This involved taking provided pseudo code logic and translating it into functioning SQL logic. The investigation process also involved joining data from disparate sources to create comprehensive, summary, and detailed tables.

Mr. Crawford worked in a team environment to assist in writing a training/transitional manual for the quarterly report that is due to Congress to update them on the status on the reconstruction of Afghanistan. The team also worked on procedures to ensure data quality and QC for the quarterly report.

Biostatistician – EMMES Corporation

June 2008 - October 2010

Mr. Crawford was a statistician on the Methicillin-resistant Staphylococcus aureus strategy contract (STOP_MRSA; double blinded) and community acquired Methicillin-resistant Staphylococcus aureus (CA-MRSA;double blinded) contract for the Bacteriology and Mycology Branch of NIH. He assisted in developing a new standard of care for patients with Staph infections by analyzing and summarizing data based off case report forms that were recorded in the EMMES proprietary electronic data entry system that was then stored in an SQL database. He used SAS and SQL to extract and access data from a database to clean the data for analysis. He provided summary tables and graphs related to safety data, subject retention, and compliance by using SAS procedures (e.g. REPORT, GCAHRT, TABULATE, SUMMARY, MEANS, SGPLOT, and MEANS). Mr. Crawford used R for more advanced statistical and predictive modeling techniques.

Mr. Crawford presented safety reports, in person, to clients at data and safety monitoring board (DSMB) meetings. He presented interim analysis, in closed session, to the DSMB. Safety and Interim results were used to make decisions to see if a re-powering or re-estimation of sample size was needed to achieve a “successful” trial. The Results from interim and safety reports drove DSMB decisions on how to proceed with the trial. Mr. Crawford was consulted by the DSMB and DMID to provide guidance on what course of action should be taken to account for an underpowered trial arm.

Mr. Crawford participated on the neurodevelopmental effects of antiepileptic drugs on pregnant women (NEAD) grant. It was an observational study that monitored, reported, and analyzed the neurodevelopmental effects of antiepileptic drugs on pregnant women and their children from birth to age 6. Mr. Crawford perform linear statistical modeling for various outcome points, help design and build web reports, and prepared graphs and visualizations that were featured in presentations and publications in the medical community. He also assisted in winning a new grant entitled MONEAD that was more heavily focused on the mothers, and the drugs they used, during pregnancy. The NEAD grant led to a relabeling of a popular antiepileptic drug.

Biostatistician Intern – Hills Pet Nutrition

May 2007 - August 2008

As the soul statistician located at Hill’s Pet Nutrition Research and Development site Mr. Crawford’s duties included: evaluating the content and sufficiency of the on-site database for complex statistical analysis, making summary reports for on-site scientists, and preparing experimental designs and predictive modeling analysis for scientists working on-site. This involved determining what measurements should be taken, that would be stored in the database, manipulating and joining any legacy data to new data to do both aggregate and comparative analysis, and producing any final reports that may be used in a publication.

Mr. Crawford provided analysis on feline dietary habits that assisted in moving the animals to a new multi-million dollar research facility using LOGISTIC, GENMOD, GLM, and MIXED SAS procedures. The statistical methods and work included generalized linear modeling, presenting, and explaining results in terms of odds ratios so the scientists could present their results in publications and conferences.

Graduate Teaching Assistant – Kansas State University

January 2006 - May 2008

Mr. Crawford worked in the consulting laboratory that provided statistical/SAS help relating to thesis/dissertations for students working on MS/PhDs in other departments. He also worked with the Kansas State Commerce Department to determine if smoking bans may affect local businesses.

Mr. Crawford was the principal lecturer and organizer of Biometrics 2. This was an undergraduate statistics course meant to introduce fundamental statistical analysis techniques to students in the life sciences. This would include everything from summary statistics, association table, and linear and categorical regression.

Mr. Crawford was the principal lecturer and organizer of Business and Economics statistics 1 & 2. This was an undergraduate statistics course meant to introduce fundamental statistical analysis techniques to students primarily in the college of business. This would include everything from summary statistics, association table, and linear, categorical regression, and longitudinal/time-series analysis.

Mr. Crawford was the principal lecturer for Principles of Statistics. This was an undergraduate statistics course meant to introduce fundamental statistical analysis techniques to students in the social sciences. This would include everything from summary statistics, association tables, basic linear regression.

SAS Experience

Mr. Crawford has 12 years of total SAS experience and has worked with: base SAS, SAS clients (Enterprise Guide, Enterprise Miner, DI studio, etc.), SAS server components and platforms, such as the SAS Fraud Framework/EBI. He is very familiar with SAS BASE, STAT, GRAPH, and ETS. Mr. Crawford has used SAS as a primary analytic (/statistical) tool in a wide range of applications, is well versed in data step and macro language, can create everything from basic to complex tables, and is capable of multiple different methods of predictive modeling. He has also worked with databases and large datasets in SAS. Mr. Crawford can use SAS as an ETL tool and is currently working with the SAS Fraud Framework (/SNA). He has used and is familiar with SAS GUI tools such as: Enterprise Guide, Enterprise Miner. Mr. Crawford works to train others on the SAS Fraud Framework.

Community Affiliations

Potomac Boat Club, Senior Member.

o Men’s Competitive Sweep Program (February 2011 to present)

Education

Kansas State University, Bachelor of Science, Mathematics and Statistics

Technology Capabilities

Statistics and Math software – SAS (server, clients, and base), R, Stata, SPSS, MiniTab, MATLAB

Databases – MS SQL, MS Access, Oracle, Sybase, Green Plum

Web Application Servers – JBOSS

Operating Systems – Windows Server 2008, Windows Server 2012, Windows XP, Windows 7, Red Hat Enterprise Linux, SUSE Linux Enterprise Server

Visualization Tools – Tableau (server), Palantir

Publications

Differential Effects of Antiepileptic Drugs on Neonatal Outcomes. Epilepsy and Behavior. May 2012

Cognitive function at 3 years of age after fetal exposure to antiepileptic drugs. New England Journal of Medicine. 16 Apr 2009. collaborator acknowledgment

Presentations

STOP-MRSA Protocol 07-0040 DSMB Safety Report. (August 2009, April 2010, September 2010)

STOP-MRSA Protocol 07-0040 Interim Analysis (April 2010, September 2010)

CA-MRSA Protocol 07-0051 Interim Analysis (September 2010)