The candidate is applying for a position in data analysis and is seeking to transition from a senior data analyst role to expanding their skills in data science. They have over 25 years of experience in data management, programming, and analysis. Notable skills include expertise in SAS programming, data warehousing, big data technologies, and statistical analysis. The candidate has supplemented work experience with various data science certifications and training programs.

1. Dear Sir or Madam:
I am writing to express my interest in the position listed on your company website. I believe that my data
analysis skills, professional attitude, and work experience in the Strategic Data Services Division at he Treasury
Inspector General for Tax Administration (TIGTA) make me a strong candidate for the position.
I started in 1987 as an assembler programmer developing applications for the processing of IRS data. For
TIGTA, I provided the audit and investigation staff with data access and was a subject matter expertise on IRS
data systems. I helped design, build and operate the SAS Data Warehouse extracting and transferring very
large data files from the IRS and loading them into Data Marts for analysis. I have an extensive background in
all aspects of Data Management, Data Warehousing, Big Data, Clustering and Storage technologies (SPDS).
Two years ago, TIGTA initiated a Data Analytics group tasked with identifying fraud in tax refunds,
procurement and identity theft. I received training in using SAS Analytics software, statistical concepts, data
mining methods, and data visualization tools in preparation for the establishment of the new analytics function.
I have completed 11 out of the 20 courses in the Data Science Certification program at the SAS Data Science
Academy. I supplemented this training with online courses in Data Science and Predictive Analytics. I
evaluated visualization tools for adoption into TIGTA’s infrastructure such as R, JMP, SAS Visual Analytics,
Hyperion EPM, and ESRI GIS software.
I am experienced in SAS, R, Python, SQL programming languages, plus various BI and Data Visualization
tools. I find the work uniquely challenging because it allows for a blending of my previous background in
science, math, computer programming, and data analysis. I am currently on a project team setup through the
District Data Labs (DDL) Incubator program engaged in a NLP analysis of the presidential debates from 2000
to 2016. I regularly attend DC Data Community, Data Science, Big Data, and Data Visualization Meetup
groups which sparked my interest in working in the data science field.
You will find me a well-spoken, confident, and energetic person on whom your customers can rely on. I have a
wide breadth of experience in various programming languages, computer platforms, database formats, data
management, and data analysis giving you the versatility to utilize my skillset in any number of different
contexts with confidence. Please see my resume for additional information on my experience and training.
I can be reached anytime by phone at (703) 798-6522. I look forward to hearing from you soon to setup an
interview and discuss this opportunity.
Sincerely,
Kevin OGallagher

2. KEVIN O’GALLAGHER
1021 South Barton St Apt 128 Email: kevogalva@gmail.com
Arlington, VA 22205 (mobile) 703-798-6522
SKILL SUMMARY
• Extensive Business Intelligence Platform experience in the SAS programming , SAS programming,
SAS Enterprise Guide query software.
• Enterprise Level experience in all areas of Data Management, Data Warehousing, Big Data,
clustering and storage technologies (SPDS)
• Excellent training, presentation, visual story-telling, written and verbal communication skills
• Eager to be challenged by new complex technical assignments
• Capable of working independently while managing and prioritizing multiple tasks and projects.
• Effectively presents analysis , conclusions to technical and non-skilled audiences.
• Strong research, analytical, critical thinking skills for effective problem resolution
• Collaborative approach to project management, design and timely execution.
• Extract Transfer Load (ETL) Business Intelligence (BI)
PROFESSIONAL EXPERIENCE
IRS/Treasury Inspector General for Tax Administration Washington, DC
Title: Senior IT Specialist , Strategic Data Services February 1987 to July 2016
• IBM assembler programmer creating custom Extract, Transfer, Load applications for IRS data
processing since 1987.
• Since 1998 providing data access, querying and report generation on various data sources in support
of data analysis requests for TIGTA auditors and investigators
• Knowledge of statistical techniques such as sampling, descriptive and exploratory analysis, data
mining methods primarily using SAS Enterprise Miner and Text Analytics, and Python language
• Enterprise level data management, data warehousing, data structure design on client, web and server
tiers handling the implementation, integration, administration, maintenance and configuration
• Serves as subject matter expert on data source types SAS, mainframe, text file, XML, SQL, Access.
• Provides expertise in ETL processing, Big Data Secure File Transfers, BI Query Tools. Duties
include programming, policy and planning, security compliance, and advanced data analysis
• Writing custom programs and scripts to extract, query, or match very large data files using various
business intelligence software tools . Loading them SAS Data Warehouse and Data marts
• Serves as a project leader or team leader in the Strategic Data Services Division advising on the
suitability of new methodologies, technologies, and suggesting changes or improvements.
• Project management, request evaluation, developing project plan, and coordinating deliverables
• Now looking to transition from working as a senior data analyst to a positon which expands on my
developing data mining, data scientist and data visualization skills and interests.
EDUCATION
Washington University @ St. Louis B.A., Biology 1985
Certified Project Manager (CPM) – Project Leadership Certification Boot Camp Program
Inspector General Awards – Received two Inspector General Awards recognizing special
achievements during 2014.

3. Software and Applications Experiences: (Number of Years)
SAS Programming, Administration, User training and support – SAS software (15), SAS Macro
(15), Stored Processes (3), SAS web apps (15) Enterprise Guide (15), XML Mapper (4), JMP software
Data Warehousing (15) Business Intelligence Architecture (15),
Data Visualization - SAS Graph (12), Enterprise Guide (12), Excel (10), ESRI GIS (2), Tableau (1),
Hyperion EPM (3), JMP Software (1)
Programming languages - SQL (15), Assembler (25), OLAP/Pivot Table (8), XML (5), IBM
Mainframe (25), JCL (25), Python (1)
Project Management - Certified Project Manager (CPM) (7), Microsoft Project (8), WBS Software (7),
CRISP – Data Mining Methodology
Data Control Point - Interagency Data Transfers, Administrator, ISSO (Security Officer), and SME for
FTP (15), Tectia (5), SSH (5), SSL (3) software, GitHub
Data Science Training:
Greenplum EMC - Data Science and Big Data Analytics Bootcamp
District Data Lab (DDL) Incubator Project - Natural Machine Learning (NLP) Text Analysis of
Presidential Debates Texts using Python
Data Science Specialization (John Hopkins) (9 classes) – Data Science Toolbox, Data Cleaning,
Exploratory Data Analysis, Regression Models, Machine Learning, Text Mining Analytics
Statistics Specialization – Statistics with R (5 course), Explore Statistics with R
Data Management Essentials (3 classes) Data Warehouse Concepts, Design, Integration.
Data Visualization (2 classes) - Data Analysis Visualization and Dashboard Design
Data Society - Introduction to R and Visualizations, Clustering and Finding Patterns, Network
Analysis, Data Science for Leaders
DC Data Community, DC Data Science, DC Data Visualization Meetups
SAS Training:
SAS Programming (3 courses), Macro, DS2
SAS Platform - Administration, Metadata, Installation, Configuration SAS Intelligence
Platform Window (SAS Versions 8.2 to 9.4)
Enterprise Guide (version 2 - 7.1) (4 classes), Querying, Tasks, Report and Graphs,
Administration, Subject Matter Expert, and In-house Trainer for SAS, SAS Web, And
Enterprise Guide (10)
SAS Data Mining - SAS Enterprise Miner (5 classes), Applied Clustering Techniques, Advanced
Predictive Modeling, Neural Network Modeling Data Mining, SAS Text Analytics
SAS Statistics (3 classes)- Statistical Concepts, Regression, Logistic Regression.