Data Scientist Cyber Security

* **. ******* ********

***** ***** **** ** . **********, VA . 20117 202-***-****

**********@*****.***

Ms. Heather Umberger is a computational mathematician and data scientist with a bias for action. She is capable of leading and supporting technical projects through full-life cycle with attention to both detail and deadline. She is often called in to complete complex tasks with highly overdue deadlines. She possesses over 20 years of experience in design, development, and implementation of innovative solutions enabling business and mission evolution. She is specialized in mathematical and data modeling, computer vision, NLP, complex system design, A.I. engineering, fuzzy logic, and non-linear dynamics. Her specialty is finding patterns within chaos, and has expertise in several knowledge domains, including network traffic analysis, cyber security, bioinformatics, and modeling of illicit and nefarious networks, such as human trafficking, organized crime, and terrorist networks. She is has over 15 years of experience supporting critical missions and operations across the IC. She has a reputation for being direct and honest, and most importantly, for identifying critical threats before they occur, providing leadership necessary time to create strategic and tactical plans.

02/2011 – Present Uffect Corporation Data Scientist

Served as data modeling SME and Working Group Lead for JEIDDO, leading a diverse and contentious community of military and civilian domain experts in the development, standardization, and expansion of the IED knowledge domain. Focus on domain taxonomy, ontology, controlled vocabulary, and data models for IED devices and IED incidents.

Provided system engineering for an agent-based, semi-adaptive, complex systems architecture for an HPC environment.

Led analysts and security SMEs to understand the impact and probability of system exploitation and to identify potential mitigations. Required in-depth exploration of attack vectors and identifying capabilities of potential cyber adversaries. Designed a risk assessment system capable of evolving from a rudimentary rules engine into a forward-chaining inference engine.

Serves as consulting data scientist across multiple domains, such as satellite and RF, GPS, human genome, pcap, and net flow, marketing, and cyber security and threat analysis.

Briefed high level executives, organized and led conferences and working groups, and collaborated with SMEs, analysts, and engineers.

Investigated and identified new and emerging key data sources, for both enrichment and refinement in support of cyber and HUMINT operations.

Supported Lucas Film's Virtual Production team to leverage data science and A.I. to develop optimization production strategies for the high-performance virtual stage used to film The Mandalorian; identified critical production issue projected to save Disney approx $100M annually.

Incubated a comutational R&D effort, Strangw Labs, and served as Lab Chair in A.I engineering. Developed and led over a dozen technical and complex projects simultaneously.

Leveraged AI/ML, graph theoretics, NLP, computer vision, and exploitation of complex and voluminous technical data to identify a network of 32 FIS and their nefarious plan; effort was briefed to Congress and the JCS.

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05/2009 – 01/2011 Harris Corporation Lead Analytics Engineer

Served as advanced analytics developer, graph theory SME, and software engineer on high- performance visualization and analytic workstation and 3-D immersive theater, to enable real- time data-mining and data exploitation; engaged regularly with FBI analysts and special agents.

Focused on translating academic papers into mission-relevant algorithms and authoring white

papers.

Supported high-profile project for FBI in user engagement and knowledge; briefed RAs and HQ.

Served as liaison and public speaker for corporate events.

01/2008 – 05/2009 Booz Allen Hamilton Lead Analytics Engineer

Served as technical lead on the Communications Readiness Tool for ARCIC's Future Combat Systems.

Designed a robust, dynamic modeling framework capable of pairing advanced analytics with visualizations through intelligent algorithms and heuristics. Implemented framework to provide stakeholder solutions, including analysis of communications network.

Served as developer, data modeler, and analytical lead on a design-for-affordability modeling/sim

tool for Ft. Belvoir BRAC Transition, Logistics, and Supply Chain.

01/2007 – 12/2007 Bridgeborn Senior Software Engineer

Technical lead for an Army-based Visualization Topology and Pilot focused on network traffic analysis.

Engaged stakeholder in daily interaction regarding data model selection, methods of analysis, query composition, and also demonstration of visualization of domain-specific architectures.

Developed web service, analytical system, and viz dashboard for network analysis, including predictive analytics to support scenario-driven, what-if modeling (gaming); presented approach to network analysis at DARPA workshop.

Supported NATO network analysis effort; identified adversarial activity on in-threater operational

network using netflow data.

09/2003 – 12/2004 Chaos Lab, University of Maryland Student Researcher

Researched impact of vibrational frequencies on assembly and disassembly of mircotubulin.

Investigated potential impact of RF frequencies on microtubulin-based brain structures.

Presented finding at conferences and workshops.

09/2001 – 08/2003 Autoscribe Computational Mathematician

Contributed to financial database products, website design, and backend development

Developed financial OFAC/Patriot Act compliance software.

Developed a complex, fuzzy-logic name recognition algorithm used for identifying fraud and terrorist activity; occasionally support retraining the model which is in use as of 2023.

Responsible for scheduling, managing tech teams, reviewing code, and ensuring requirements.

TECHNICAL SKILLS

APPLICATIONS:

Database: MySQL, MongoDB, PostGres, ElasticSearch, Neo4J, Titan/Tinkerpop

Tools and Technologies: Hadoop, Mahout, openGL, SPSS, Matlab, Visual Studio, Eclipse, AIMMS, Weka, Titan, Gephi, BDAS, JDBC, Accumulo, Splunk, Grafana, Kibana, HIVE, Pig, Palantir, Spark, SQL Server, Keras, NLTK, TensorFlow, Sentence Tranformers (and other NLP python packages), Apache Kafka, D3, Apache Storm, JSON, SOAP, Anaconda, Netbeans IDE, CodeBlocks IDE, Spyder IDE, PyCharm IDE, SVN, CVS, Putty

OPERATING SYSTEMS:

Windows, OSX, RH/Centos Linux, Ubuntu, Android OS, iOS

LANGUAGES:

C/C++, C#, .NET, Lisp, Java, XML, XSLT, UML, XSD/XSLT, JavaScript, PHP, SQL, PL/SQL,

Python, Mathematica, Ruby, R, Scala

CERTIFICATIONS

2010, CISSP

2008, Six Sigma Green Belt 2009, PMP

PUBLICATIONS & AWARDS

2017, "Docker Best Practices: Promoting a Secure Container-driven Microservices Architecture", Uffect IRAD

2016, "SEAM: Systems Engineering and Analysis Methodology", Uffect, IRAD 2004, “An Electrostatic Model of Microtubule Self-Assembly”, Chaos Lab, UMD 2003, NSF VIGRE Research Grant

2002, Microsoft Women in Technology

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