Turn Business Data into Measurable Value with Practical AI/ML Systems
I help growing companies turn existing data into better forecasts, smarter decisions, and working AI products — from identifying the opportunity and building the models to deploying systems that deliver results.
What I Help With
Forecasting & Predictive Modeling
Anticipate demand, operational risk, and rare events with models evaluated against real-world outcomes.
Decision Science & Optimization
Turn forecasts and business constraints into better pricing, inventory, prioritization, and resource-allocation decisions.
AI Search, RAG & Hybrid Retrieval
Make complex document collections searchable using semantic retrieval, BM25 keyword search, reranking, and grounded AI workflows.
Production ML & AI Systems
Build reliable data, modeling, monitoring, and retraining workflows that work beyond the prototype stage.
Why This Matters
Successful AI/ML projects begin with a business problem, not a technology. Whether the goal is improving profitability, managing operational risk, or making existing information more useful, the challenge is connecting analytical capabilities to real decisions. I bring both business and technical experience to that process—from working with imperfect data and defining meaningful objectives to building systems that teams can adopt and sustain.
Featured Work
Pricing & Optimization Systems
At Thrasio, I developed production pricing and inventory decision systems combining demand forecasting, price elasticity, and financial constraints. An inventory-aware pricing initiative increased profitability by 15% while reducing excess inventory by 20%. Separate elasticity work covered 10,000+ products.
Predicting Housing Complaints Before They Occur
Client Engagement · Kogan AI Consulting
Built a quarterly housing complaint-risk system using NYC housing data across buildings, apartments, and 13 complaint categories. A retrospective evaluation of roughly 7 million previously generated scores found that the highest-risk 10% had 6.3× the overall complaint rate—providing a strong signal for identifying units that may warrant earlier attention.
RAG & Hybrid Search Product
Built and evaluated document-retrieval capabilities for complex technical material, combining document preparation, relevance testing, and source-aware search and ranking. The work emphasized finding reliable evidence in lengthy documents and preserving the context needed to verify results.
Ways to Work Together
Project-Based AI/ML Consulting
Build or improve a defined forecasting, optimization, retrieval, or production ML system — with clear deliverables and evaluation criteria.
Technical Audit & Advisory
Get an independent assessment of data readiness, model quality, RAG performance, technical risks, or the next step for an existing prototype.
Fractional AI/ML Leadership
Get senior technical direction on strategy, architecture, validation, and delivery without a full-time AI/ML leadership hire.
About
I’m Isroel Kogan, an AI/ML engineer and consultant with experience spanning pricing and inventory optimization at Thrasio and production ML and AI search at Cadmus. Through Kogan AI Consulting, I bring business-focused modeling and hands-on engineering together to help teams build useful systems from their data.
Have a Similar Problem?
If you have useful data, an uncertain model, or a workflow that could benefit from smarter decisions, let’s discuss what’s practical and worth building.