Data & AI consultancy · Abu Dhabi

Strategic data consultancy for complex organisations.

Deep technical expertise, paired with the business judgement to know when and where to apply it: in estates where the data is fragmented, the stakes are regulated, and the answer has to survive an audit.

Review the sectors
  • Nuclear Energy
  • Healthcare
  • Government Health
  • Insurance & Actuarial
  • Technology & FinTech
Schematic of a regulated data estate: five source systems flowing through ingest, validation and modelling stages into a warehouse, with one audited lineage highlighted from source to audit trail.
Plate 00 · Estate lineageOne record, source to audit trail
10+
Years in practice
5
Regulated sectors
7
Client organisations
GCC
Primary market

Services

What we bring to the table.

Six things an engagement is usually made of. Most start with the first two and end with the last.

01 / 06

Data Strategy & Architecture

Designing data ecosystems that support analytics, reporting and ML at scale. Clear governance, not just diagrams.

Governance · Lineage · Architecture review

02 / 06

ML & AI Advisory

Where to apply ML for actual return, and where not to. Model selection, governance and validation plans.

Model selection · Validation · Governance

03 / 06

Migration & Modernisation

Moving legacy estates onto Snowflake, Databricks or equivalent, without breaking what already works.

Snowflake · Databricks · Cut-over planning

04 / 06

Analytics & Dashboarding

Automated reporting and self-service with Power BI, Tableau, and custom tooling where off-the-shelf fails.

Power BI · Tableau · Custom tooling

05 / 06

Stakeholder Bridging

Translating between executives and engineers. The work that makes the other work possible.

Steering committees · Board packs · Regulators

06 / 06

Team Leadership & Training

Principal-in-residence. Upskilling your teams so the capability outlasts the engagement.

Principal-in-residence · Runbooks · Hiring

Methodology

A proven four-phase engagement model.

Each phase closes with something you own: a document, a pipeline, a trained team. Not a status meeting.

  1. Phase 01

    Assess

    Deep read of the current data estate, governance and business objectives. Quick wins and structural gaps, named separately.

    Estate review

  2. Phase 02

    Strategise

    A tailored roadmap: KPIs, architecture decisions, sequencing and the hiring plan that has to go with them.

    Roadmap & KPIs

  3. Phase 03

    Implement

    Hands-on delivery of pipelines, models and dashboards, with documentation and a handover plan written from day one.

    Working systems

  4. Phase 04

    Scale

    Training, runbooks and hiring, set up so the capability continues without the consultant in the room.

    Runbooks & training

Shahzeb Yousuf, principal consultant
Principal
Shahzeb Yousuf
Based
Abu Dhabi, UAE
Practice
Established 2016
Authorities
FANR · DoH · DHA

Who you work with

Engagements are led by the person who writes the code.

Every engagement is run by a principal, not scoped by one and then staffed by juniors. The person in the steering meeting is the same person reading your schema, and the recommendation you get has been tested against the data rather than against a template.

The work spans a decade across regulated environments: nuclear operations under FANR, hospital groups migrating live clinical estates, health authorities negotiating tariffs, and insurers whose reserving has to satisfy an auditor. The common thread is that being right is not enough. It also has to be demonstrable.

Data strategySnowflake & DatabricksMachine learningModel governanceRegulated reportingPower BI & TableauTeam leadership

Contact

Ready to engage? No deck, no pitch. Thirty minutes to understand the problem.

info@nexgen-solutions.org