The document summarizes the experience and qualifications of Corey W. Sykes, an experienced data scientist with expertise in big data technologies like Hadoop and programming languages including Python, R, and SQL. He has worked on data science projects at Cisco involving customer analytics, personalization engines, and graph databases.

1. Corey W. Sykes
308 S Blount. St., Apt 1909 | Raleigh, NC 27601 | 757.710.0769 | corey@coreysykes.com
SUMMARY
Young, but extremely experienced and passionate data scientist working hands on with all types of data. Part data scientist,
engineer, architect, and analyst, with the ability to problem solve my way out of anything. Capable of providing actionable
insights and driving profitable business outcomes with the use of big data in both small and large organizations.
WORK EXPERIENCE
Data Scientist, Cisco Systems, Research Triangle Park, NC March 2015 – Present
 Big Data Technologies: Hadoop (HBase, Hive, Pig, Spark, Drill, Sqoop, HDFS, Flume)
 Programming Languages: SQL, PHP, Python, R, Unix/Shell Scripting
 Databases: Hadoop, Teradata, Cassandra, Graph Database Libraries, Oracle, Microsoft
 Visualization / Dashboarding Tools: Tableau, Platfora, SAS, HUE, Excel
 Data Science Modeling: Random Forests, GBM, Forecasting, Clustering, Bagging, Ensemble Models, Optimization
 Domain Knowledge: Big Data, Web Data / Customer & Marketing Analytics
 Other Tools: Oracle Bluekai, Adobe SiteCatalyst, Adobe Ad-Hoc Analysis, d3, HTML, CSS, JavaScript, jQuery
 Projects (can give more on request):
o Defining Customer Engagement and Content Performance on Cisco.com
 Worked within a small team to develop a new metric, coined ‘Engagements’ for Cisco – one of the KPIs all Cisco
Marketing organizations are now goaled and measured against.
 Developed a customer engagement and content performance model by doing deep exploratory data analysis on
content across Cisco.com domains, using random forest modeling to find important factors that are indicative of
engagement to content and Bayesian networks to calculate metric weightings.
 Continued further to architect and engineer a massive production dashboard with another Marketing team to
track performance for all regions and countries
o Cisco.com Real-time Offer Personalization Engine
 Helped deliver insights through data modeling efforts with a group from a Cisco Data Science program
graduating class out of University of Washington/ NC State. Contributed with three others to develop a real-
time personalized engine (in R, then ShinyR for application use) for recommending offer types (analyst reports,
whitepapers, webcasts, etc.) down to the cookie level on Cisco.com by various factor analyses, through
extensive exploratory data analysis, followed by GBM modeling.
o Using Graph Databases for Path Analysis through Cisco.com
 Helped develop with one other team member a front-end web-based application with many different
programming languages (HTML, CSS, JavaScript (D3), AJAX, jQuery for the front-end, Python and NetworkX
(Graph database library) for the back-end) that allowed us to use out-of-the box algorithms and develop our
own to analyze paths through Cisco.com.
 We discovered insights about the shortest, longest, and most popular pathways through Cisco.com, as well as
what pages were hubs, along with many other discoveries.
o Account Based Marketing Modeling Efforts

2. Corey W. Sykes
308 S Blount. St., Apt 1909 | Raleigh, NC 27601 | 757.710.0769 | corey@coreysykes.com
 Helped pioneer and contribute to multiple projects in this sphere of personalizing Cisco.com marketing to an
account level.
 Developed all data extraction and modeling efforts in Hadoop (writing complex scripts, developing dashboards,
pipelining & scripting for back-end automation) to give analytical insights on customer behavior at an account
level through detailed metrics around web behaviors (data models on scoring, metrics on visits, sessions, path
analysis, etc.).
WORK EXPERIENCE Cont.
Pricing Analyst, Ferguson Enterprises, Radford, VA June 2013 – March 2015
 Gained extensive knowledge of Oracle PL/SQL, IBM Cognos, Access, Excel/VBA, SharePoint, and in-house applications
by using them to conduct intensive market research on both Ferguson's wholesale pricing structures and close
competitors to enhance margin opportunities.
 Projects:
o Ferguson Customized Reporting Systems
 Created an office LAN Website hosted on Apache, using PHP, AJAX, HTML, CSS, PL/SQL, and jQuery to
allow employees to develop customized sales reports by various criteria. Also allows users to run
stored procedures via mixing PHP and Cron scripting. The process helped to automate and optimize
several weekly business processes, as well as drastically cut costs and time on
monthly/quarterly/yearly reporting.
CSykes Web Design, Freelance, Raleigh, NC October 2013 – Present
 Self-driven learning of many languages, including HTML, CSS, JavaScript, jQuery, MySQL, PHP, and AJAX to create
responsive websites.
 Personal Website: http://www.coreysykes.com/
SKILLS & CERTIFICATIONS & AWARDS
Computer Skills
 See Data Scientist position (covers most) – comfortable picking new tech up on the fly at all times.
 Certifications:
• Microsoft Office Specialist Certified in Office 2003, 2007 (Word, Excel, PowerPoint, Access)
• MTA, MSCA for Microsoft SQL
 About to pursue Master’s in Analytics
Presentations/Speaking Events
• INFORMS Ops Research & Analytics Conference 2016 – Orlando, FL
 Presented in the poster session on how Bayesian Networks are used at Cisco.
• 4th
Annual BayesiaLab Conference – Nashville, TN
EDUCATION
Virginia Polytechnic Institute & State University, Blacksburg, VA Fall 2009 – Spring 2013
 Bachelor of Science, Economics
Awards
• Pamplin Leadership Award, 2009-2013
• H.C. & C.W. Watson Scholarship, 2009-2013
• Hallie Whealton Trust Fund Scholarship, 2009-2013
• Kiwanis Club Scholarship, 2009
• Masonic Lodge Scholarship, 2009

3. Corey W. Sykes
308 S Blount. St., Apt 1909 | Raleigh, NC 27601 | 757.710.0769 | corey@coreysykes.com
Involvement
• VT Billiards Club President, Treasurer • VT Club Golf Team Member