About Us

Vector Analytics (previously known as Vector Strategy) uses machine learning models, artificial intelligence, and data visualization to knit together elements of intelligence that have been gathered from multiple, disconnected, unstructured, big data sets. 

We focus on synthesizing elements of intelligence related to technology, product development, innovation, and scientific discovery. 

Organizations in the defense, aerospace, high tech materials, and finance/banking industries use our services to benchmark their innovation and R&D activities, discover emerging technology trends, realign their product and technology development strategies, value their acquisitions, and find technology and business development partners. 

Vector Analytics has long established experience succinctly communicating analysis and market research to major corporations. Alcoa, Arcelor Mittal, BAE Systems, DSM Dyneema, DuPont, Honeywell, Owens Corning, Saint Gobain, and the US Department of Defense are among the organizations that have turned to Vector Analytics for insight.

Vector Analytics, Inc. is an S-corporation registered in the state of North Carolina. We are eligible for, and participate in, the Women Owned Small Business (WOSB) Federal Contracting Program under the following NAICS:

  • 511210 – Software Publishers
  • 518210 – Data Processing, Hosting, and Related Services
  • 541511 - Custom Computer Programming Services
  • 541618 – Other Management Consulting Services  
  • 541690 - Other Scientific and Technical Consulting Services
  • 541715 - R&D in Physical, Engineering, and Life Sciences
  • 541910 – Market Research and Public Opinion Polling

Our SAM registration is active and lists the above NAICS. You can confirm our WOSB certification (and documentation) at the SBA website and you can find us in the SBA's Dynamic Small Business Search. Contact us for our Federal Employer Identification number and DUNs if that is required for your contract administration or purchase order.

Photo: Queen’s Table dedicated the sculpture “Ainsa III” by artist Jaume Plensa at UNC Charlotte Center City on Tuesday, Sept. 15, 2015.

Our Team and Partners

Marcia Price


Marcia Price (co-founder and CEO) is an established entrepreneur, data scientist, and market researcher. Ms. Price excels at developing and communicating actionable business intelligence. Her previous firm, Vector Strategy, provided military market and technology forecasts to organizations such as BAE Systems, Honeywell, DuPont, Owens Corning, and the US DOD. While pursuing a Masters in Data Science at UNC Charlotte, she developed an impassioned interest in predictive innovation analytics.

Dr. Wlodek Zadrozny


Dr. Wlodek Zadrozny (co-founder and Chief Research Scientist) joined the faculty of UNC Charlotte in 2013, after a 27-year career at IBM TJ Watson Research Center.  His research focuses on natural language understanding and its applications in business. As an IBM scientist, he led and contributed to a range of projects that included semantic search application, natural language systems, and the original Watson project, the Jeopardy! playing machine. He has authored over 100 refereed papers and patents.

Lisa Kandalaft

Lisa Kandalaft has accounting and business experience in companies of all sizes, ranging from Fortune 500 corporations to startups. A former Big-4 auditor and 12 year Disney professional, she pivots between both financial and operational roles.  She ensures that Vector Analytics  maintains a strong accounting discipline with well documented financial procedures.  She is a CPA (license inactive), earned her MBA from the Darden School at the University of Virginia, and has a BBA in Accounting from Pace University.


2018 Internships and/or 1099 SubContractor Positions

We are currently recruiting for 2018 interns, and are interested in working with students looking to fulfill their DSBA internship requirements at UNC Charlotte or who are engaged in the Masters of Computer Science program. We are also looking for subcontractors who have the following qualifications:

  • Individual should have a firm understanding of Python (an example/demo of executable code may be required).
  • It is expected that individual is familiar with converting PDF and XML data to text, and cleaning and pre-processing text prior to model ingestion.
  • Individual must be familiar, i.e. have experience, using Python packages that address text analysis, topic modeling, and text clustering.
  • Experience with patent data and other scientific document corpora is a plus.
  • Understanding model performance and diagnostic statistics is a plus.
  • Understanding and previous deployment of word2vec or other vector representation of text is a plus.

Interested candidates may communicate their interest by sending a cover letter or well structured email describing their abilities to mprice@vector-analytics.com. In addition, please include a resume/CV.