Projects

Real builds, real constraints, real outcomes.

Across data platforms, analytics, and AI, in media, retail, government, and automotive.

BI & Analytics

Enterprise Semantic Layer & KPI Framework

One governed definition of every KPI across three data sources and four business domains, ending metric disputes and shrinking report build time.

50% Improvement

Query Performance

15

Weekly Hours Saved

SSAS DAX Power BI SSIS
Data Engineering

Enterprise Data Model for Streaming Analytics

One trusted data model across five source systems and three downstream surfaces, ending data silos and accelerating BI, ML, and AI delivery.

5

Source Systems Unified

30%

Faster Data Retrieval

Databricks Delta Lake AWS S3 PySpark
AI & Automation

Voice-of-Customer Intelligence Platform

Arabic and English social feedback from four platforms in one searchable layer that teams can question in plain language.

4

Social Sources Unified

Hours to seconds

Sentiment Access Time

Databricks Vector Search LangGraph Genie
AI & Automation

CRM Campaign Automation Platform

CRM campaigns that build themselves across millions of profiles a day, replacing multi-day audience handoffs with daily automated execution.

Millions

Profiles Processed Daily

4

Recommendation Scenarios

CleverTap Power BI Databricks PySpark
Data Engineering

Ad Inventory & Revenue Pipeline

Pacing shortfalls and inventory pressure surface during the campaign, in time to act, instead of reconciling make-goods after it ends.

Same-day

Pacing Visibility

Multi-week

Settlement Refresh

Databricks Google Ad Manager S3 Power BI
BI & Analytics

Phased BI Modernization

Tableau to Power BI to a governed semantic layer, with leadership reporting never going dark for a day during the migration.

3

Migration Phases

35%

Report Maintenance Reduction

Power BI Tableau Databricks SSAS
Data Engineering

Profile-Level Feature Store

Profile-level behavior features that sharpen targeting and give ML and personalization teams a shared starting point.

45+

Features Per Profile

6

Feature Categories

Databricks PySpark Spark SQL Delta Lake
Data Science

Viewing Behavior Clustering

Viewers grouped by how they actually watch, giving content and marketing teams audiences they can act on.

Labeled and governed

Behavioral Segments

Millions

Profiles Scored

scikit-learn PySpark MLflow Power BI
Data Science

Behavior-Based Attribute Inference

Missing profile attributes filled in from behavior, so audience analysis stops being blocked by signup gaps.

~4x

Coverage Grain

Millions

Profiles Scored

XGBoost scikit-learn MLflow Databricks