Rishabh Raman

Enterprise AI & Strategic Impact Led $75.7M+ in lifetime revenue generation and $20.7M+ in active ARR through strategic AI deployments across top-tier enterprise and government accounts. Recognized for scaling DataRobot from 50 employees to a $6B+ valuation. Engaged C-level clients, launched key partnerships (Palantir, Aramco), and led major cross-functional product development efforts.

Key Client Wins & Deal Sizes

• Saudi Aramco | $13.5M Lifetime Spend | $4.5M Active ARR
  Built 4 AI applications across gas flaring reduction, diesel and kero yield optimization, downstream inventory allocation, and petrochemical investment analysis. Led a 21-person cross-company team. Delivered IdentifAI, a GenAI-powered platform for refinery investment simulation and M&A acceleration.
• SpaceX | $2.5M Active ARR
  Designed outage forecasting for 100K+ Starlink terminals using HMMs and spectrogram telemetry analysis. Achieved 40% efficiency improvement in engineering ops.
• Kroger | $12.86M Lifetime Spend | $2.5M Active ARR
  Created a Behavioral Health Recommender using claims + demographic data with Shapley analysis. Deployed from 17 pilots to 3000+ stores.
• Freddie Mac | $6.07M Lifetime Spend | $2.04M Active ARR
  Rebuilt AVM using AI models over 3100+ counties. Enabled automated risk scoring and property valuations across the U.S.
• Apple | $1.79M Lifetime Spend | $358K Active ARR
  Built hybrid ML/OR assortment optimizer. Delivered ROI across inventory and elasticity management.
• Steward Health | $3.15M Lifetime Spend | $435K Active ARR
  Built LOS prediction and staffing models for 38 hospitals. Pilot in 8 hospitals led to $10M in Year 1 savings.

Leadership, GTM, and Product Innovation

• Among first 5 Data Scientists at DataRobot; tripled U.S. AI team post-Series A.
• Forged Palantir partnership; integrated LLM capabilities with ontology modeling.
• Led design of AutoTS framework enabling competitive “survival-of-the-fittest” model runs.
• Principal architect of IdentifAI, a generative AI platform with conversational bots, clustering, 3D refinery visualization, and predictive margin modeling.

• Developed voice control engine and LSTM-based sentiment classification models for customer interaction transcripts.
• Awarded 'Innovator of the Quarter' Q4 2016.

• Built Random Coefficient Logit Model for McDonald's pricing, lifting revenue by 12% in pilot phase. Now standard model across markets.

• Developed regression model for commodity price outliers → $1.2M in annual savings.

• Delivered $2.5M in cost savings across two international refinery projects using simulation optimization.