I help global technology, industrial, and investment firms answer the definitive "So What?" behind their enterprise data layers.
I operate as a hybrid Data, AI, and Product Consultant with over a decade of cross-functional experience turning fragmented business intelligence, complex market anomalies, and ambiguous enterprise problems into systems that ship. My work spans the complete architectural lifecycle: defining the modern data foundation, building the agentic AI layer on top of it, and steering the product decisions that make both useful to board-level leadership.
My consulting philosophy is built on a simple premise: corporate strategy and product experiences must be driven by rigorous primary research and validated by high-fidelity, real-time data tracking.
Modern Data Strategy & Agentic AI
On the technical execution side, I architect enterprise data solutions using Google Cloud, Salesforce Data Cloud, Databricks, and Snowflake to turn disconnected operational silos into unified intelligence hubs. I specialize in designing robust semantic data models and implementing advanced Generative AI or conversational interfaces. This empowers non-technical analysts, policy teams, and executives to query multi-layered datasets using natural language—entirely bypassing manual SQL cycles.
Technical Product Management
On the product delivery side, I am a Certified Product Manager and Certified Product Owner/ScrumMaster. I lead cross-functional sprint teams composed of data scientists, scrum masters, and software specialists to execute discovery, build high-value backlogs, and map out scalable product roadmaps. I focus heavily on product metrics that matter: user adoption, accelerated corporate decision-making, and direct revenue generation.
Flagship Innovation: 𝐓𝐡𝐞 𝐂𝐫𝐮𝐝𝐞 𝐒𝐢𝐠𝐧𝐚𝐥
I engineered and deployed 𝐓𝐡𝐞 𝐂𝐫𝐮𝐝𝐞 𝐒𝐢𝐠𝐧𝐚𝐥 (signal.anujmehta.co)—an institutional-grade energy intelligence terminal addressing the challenge of scattered energy data. It aggregates live maritime congestion, refining economics, and OPEC compliance into a single view for proactive market insights.
Cross-Industry Impact
My professional engagements span Tier-1 advisory delivery at firms like PwC and key technology implementations across major global verticals:
● Energy & Commodities: Unifying shipping, trade, and geopolitical risk metrics into single live reads for risk desks.
● Logistics, Rail & Freight: Modeling complex telemetry objects to catch transit dwell-time delays instantly.
● Aerospace & Defense: Fusing disjointed operational data streams into predictive supplier-risk command centers.
● Life Sciences & Healthcare: Consolidating sales actuals against forecasting to expose regional pharmaceutical demand shifts.
I hold an MS in Technology Management from the University of Illinois at Urbana-Champaign. I am equally comfortable driving low-latency pipeline engineering behind the screen or facilitating high-pressure stakeholder workshops to translate analytics into strategic recommendations for board-level execution.
Production-grade platforms and shipped products across data, AI, and product strategy. Each Data + AI project opens to its own page with the live deliverable.
Semantic modeling unifying sales and marketing into a C-suite revenue and ROAS performance hub.
View project →A 14-object semantic model with an Agentforce layer surfacing dwell-time delays from live telemetry.
View project →Seven siloed streams fused into a predictive ROI and supplier-risk command center.
View project →Bridging high-yield production and net profitability through regional sourcing intelligence.
View project →Fragmented sales and forecast data unified, with conversational analytics for non-technical users.
View project →Interactive BI plus an agentic assistant for wait times, cost, ratings and coverage.
View project →Revenue, bookings and cancellations with built-in anomaly-aware benchmarks.
View project →Seven government datasets unified into a live dashboard and a conversational AI agent.
View project →Live crude oil analytics across 29 dashboard pages, 21 automated pipelines, and 10 years of historical price depth.
View project →Product, brand, and strategy work from graduate study and earlier consulting, kept as supporting context rather than current client delivery.
Multiple certifications spanning CRM, administration, and platform expertise for enterprise deployments.



Badges and certifications in data science, artificial intelligence, and machine learning platforms.











Certified Product Manager from Product School and Agile/SAFe credentials for modern product delivery.





Google Cloud Certified Cloud Digital Leader, cloud strategy, data, and AI expertise on GCP.





Production data and AI solutions delivered across the sectors below, spanning energy and aerospace through life sciences, logistics, and healthcare.




My personal Substack unpacking perspectives on Data, AI, Technology, and more, including exclusive work samples for subscribers.
Exploring the transformative role of foundation models in AI and how they are reshaping industries from healthcare to transportation.
A clear breakdown of the key differences between AI, Machine Learning, Deep Learning, and Generative AI.
Key concepts in how humans interact with AI systems and what it means for technology design and product development.
How generative AI and neural networks are unlocking entirely new creative and business possibilities.
Unpacking one of the most crucial concepts in product management, building something from nothing to a scalable product.
Whether it's a consulting opportunity, collaboration, or a conversation about Data & AI, I'd love to hear from you.