Analytica Data Science SolutionsContact
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Capabilities statement

Analyticadata science solutions

Models for decisions that are expensive to get wrong.

Analytica builds predictive models and decision-support systems for government and enterprise teams. Engagements are led and delivered by senior practitioners, with named specialists added when the work requires them.

Legal name
Analytica Data Science Solutions
Registered address
3701 S George Mason Dr, Unit 1915N, Falls Church, VA 22041
Founded
Established 2015
Principal
Dr. Aous Abdo
Years in operation
11Years in operation
Applications live and open
20Applications live and open
Federal & defense tools, no client data
7Federal & defense tools, no client data
Refereed papers by the principal
100Refereed papers by the principal

Federal identifiers

SAM.gov registration and NAICS codes.

Unique Entity ID
X563TN1QGJF1
Registered since 21 Feb 2023
CAGE / NCAGE
9JFF2
All Awards
SAM.gov
Active through December 30, 2026
Cross-check at sam.gov
Socio-economic
Self-certified Small Disadvantaged Business
Virginia · Congressional District VA-08

NAICS codes · 14 registered

  • 541519Other Computer Related ServicesPrimary
  • 518210Computing Infrastructure Providers, Data Processing, Web Hosting and Related Services
  • 519290Web Search Portals and All Other Information Services
  • 541512Computer Systems Design Services
  • 541513Computer Facilities Management Services
  • 541611Administrative Management and General Management Consulting Services
  • 541612Human Resources Consulting Services
  • 541613Marketing Consulting Services
  • 541614Process, Physical Distribution and Logistics Consulting Services
  • 541620Environmental Consulting Services
  • 541690Other Scientific and Technical Consulting Services
  • 541715Research and Development in the Physical, Engineering and Life Sciences
  • 541720Research and Development in the Social Sciences and Humanities
  • 541990All Other Professional, Scientific and Technical Services

Core competencies

Four things we do, and the proof for each.

  1. 01

    Predictive modeling on operational data

    Failure, risk and demand forecasting on the tabular, geospatial and sensor data an agency already holds, evaluated on held-out data.

    Evidence · Storm damage forecast five days out for a utility; disaster-impact forecasting across critical infrastructure for CISA.

  2. 02

    Data engineering and integration

    Building the data foundation modeling needs — assessment, preparation, and integration across systems, including record linkage and de-duplication when sources share no identifier.

    Evidence · Entity resolution across federal and commercial critical-infrastructure records for CISA (fastEM).

  3. 03

    Explainable AI and decision support

    Model output prepared for technical and executive review, with the level of explanation designed around the decision, the audience, and the regulatory context.

    Evidence · Operational dashboards with automated alerting, delivered for utility storm response.

  4. 04

    Training and enablement

    Curriculum written for working analysts and decision-makers. Delivered live, to mixed-seniority rooms, with no programming prerequisite on either published course.

    Evidence · AI for Decision Support in Defense Operations · R for Data Science.

Past performance

Work where being wrong was expensive.

  • Cybersecurity and Infrastructure Security Agency (CISA), US Department of Homeland Security · Subcontractor

    Federal government · Homeland security · Critical infrastructure · 2018 – present

    Predicting how a hurricane cascades through US critical infrastructure

    Record linkage at national scale, then a forecast of how a storm moves through what it links — delivered as a platform, as a subcontractor, since 2018.

    2018 –continuing, as a subcontractor

  • Southern California Edison · Subcontracted delivery

    Energy · Utilities · 2 years

    Predicting where a storm will break the grid — five days out

    A two-stage model that forecasts damage by district, then converts that into the crews and materials to pre-stage.

    15%reduction in outage times, client-reported

  • Jones Lang LaSalle (JLL) · Contract engagement

    Commercial real estate · Hospitality · 2016, then multi-year

    Matching hotels to buyers, in a market with almost no ratings

    A recommender built on a ratings matrix that was 99.35% empty — and the bake-off that picked the algorithm.

    3 months → instantto produce a buyer shortlist

Some clients are described by sector rather than named. References are available on request.

Why Analytica

Differentiators.

Domain evidence

7 federal and defense tools, built from public records or synthetic scenarios.

They run on public sources — federal spending data, FAA sightings, GAO and CRS reporting, AIS — or, for Airthread, synthetic scenarios, and every one is live and open now. No client data is involved.

  • Constellation

    Federal contracting networks, five markets

  • Drift

    MDAP cost growth explorer

  • Skywatch

    Counter-UAS incident atlas

  • Crucible

    The federal SBIR pipeline

  • Watchstander

    Maritime domain awareness

  • Chokepoint

    Strait of Hormuz consequence engine

  • Airthread

    From detection to coordinated decision

Open any of them →

Contact

Start a conversation.

For RFIs, teaming discussions, capability briefings, or a scoping call, use the contact form. Messages go directly to the principal.

Download this statement as a PDF →

Direct

Analytica Data Science Solutions
3701 S George Mason Dr, Unit 1915N, Falls Church, VA 22041
Dr. Aous Abdo, Principal

Analytica Data Science Solutions · Capabilities statement · current as of September 28, 2026