Data & AI Solutions Architect
Data that works as hard
as your business does.
- AI that moves the business forward, not just demos well in a meeting
- Manual work automated so teams focus on what actually matters
- Decisions backed by numbers that everyone trusts
10+ years · Analytics, Data Engineering, Data Science & AI Automation · Dubai, UAE
Currently: Assistant AI and Analytics Manager (Forward Deployed), MBC Shahid (MBC Group)
How I Work
Turning scattered data into decisions your business can trust.
Every dashboard, forecast, and AI agent rests on the same foundation. Here is how each layer builds on the last.
Foundation
trust before analysis
Connect
Bring every source together
Pull data from every system your business runs on, so nothing is missing, stale, or stuck in a silo.
Answers: “What is happening across the business right now, in one place?”
Trust
Store it cleanly and reliably
A single, governed home for every record, with full history and quality checks before anyone touches it.
Answers: “Can I rely on this number, and can I prove where it came from?”
Shape
Model it the way the business thinks
Turn raw records into the things your teams actually talk about: customers, products, content, transactions.
Answers: “Show me revenue by segment, not by raw table joins.”
Insight
people see, understand, act
Serve
Make it instant to explore
A fast, governed layer where thousands of people can slice years of data in seconds, without breaking anything upstream.
Answers: “Let a finance director answer their own question in two clicks.”
Show
Put answers in front of people
Self-serve dashboards and reports built for finance, marketing, and operations, in the language they already use.
Answers: “What changed this week, and what should I do about it?”
Intelligence
the system decides alongside you
Predict
See what is likely to happen next
Models that score risk, anticipate behavior, and surface patterns no human review would catch in time.
Answers: “Which customers are about to leave, and which are worth saving?”
Act
Turn decisions into action
AI and automations that respond, recommend, and execute decisions at scale, with humans setting the rules.
Answers: “Generate the summary, route the case, send the offer, no ticket required.”
What I Build
Four practices, one connected system.
Each one stands alone as an engagement. Together they cover the full path from raw data to AI in production.
Data Architecture & Engineering
Build the data foundation everything else runs on.
- Unified data model. Every system that runs the business stitched into a single picture.
- Trusted pipelines. Data lands on time, with quality checks and a clear trail of where every number came from.
- Single source of truth. One definitive record per entity, so every team works from the same data.
BI & Analytics
End KPI disputes and make reporting self-serve.
- One set of KPIs. Every team measures the same numbers the same way, defined in one place.
- A single reporting platform. Fragmented dashboards consolidated so leaders stop reconciling spreadsheets.
- Self-serve answers. Finance, operations, and frontline teams slice their own data without waiting on a queue.
Data Science & ML
Turn patterns into predictions you can act on.
- Segments that act. Groups defined by behavior, not by surface attributes.
- Predictions you can use. Risk, intent, and missing attributes scored so teams can intervene early.
- Models that stay honest. Monitoring and retraining built in, so accuracy does not quietly decay.
AI & Automation
Build AI that retrieves, reasons, and acts on your data.
- Answers from your own content. Retrieval over internal docs and data, so the AI is grounded in your business, not guessing.
- Multilingual intelligence. Sentiment, classification, and extraction across the languages your audience actually uses.
- Hands-off workflows. Operational handoffs automated so analysts stop being a routing layer.
Recent Work
Where this has paid off.
Across data platforms, analytics, and AI, in media, retail, government, and automotive.
Enterprise Data Foundation
One trusted model, feature store, and governed semantic layer across five source systems, so BI, ML, and AI build on the same numbers instead of fighting over them.
Enterprise Semantic Layer & KPI Framework
One governed definition of every KPI, so teams stopped reconciling conflicting numbers and report builds dropped 60-70%.
Voice-of-Customer Intelligence Platform
Feedback from four social sources unified into one searchable layer that anyone can question in plain language, turning hours of analyst work into seconds.
CRM Campaign Automation Platform
Daily CRM campaigns that build and target themselves across millions of profiles, replacing multi-day audience handoffs with hands-off execution.
Personal builds
Built end to end, on my own
Full-stack systems I designed, built, and deployed myself, from ingestion to interface.
Document Copilot: Grounded Document Intelligence
Ask a set of documents a question in plain English and get an answer grounded in the exact passages it cites, or an honest refusal when the documents do not support it.