Projects
Real builds, real constraints, real outcomes.
Across data platforms, analytics, and AI, in media, retail, government, and automotive.
Enterprise work
Delivered in production, at scale
Data and analytics systems built inside a large consumer business, anonymized for confidentiality.
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.
5
Source Systems Unified
Millions
Profiles Modeled
Enterprise Semantic Layer & KPI Framework
One governed definition of every KPI, so teams stopped reconciling conflicting numbers and report builds dropped 60-70%.
50% Faster
Query Performance
100+
Governed Measures
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.
4
Social Sources Unified
Hours to seconds
Sentiment Access Time
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.
Millions
Profiles Processed Daily
4
Recommendation Scenarios
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
Behavioral Segmentation & Attribute Inference
Raw behavior turned into governed, activatable segments and inferred attributes, so marketing and planning act on what customers do instead of sparse signup data.
Millions
Profiles Scored
~4x
Attribute Coverage
Personal builds
Built end to end, on my own
Full-stack systems I designed, built, and deployed myself, from ingestion to interface.