About me

AI Product Manager

I am an AI Product Manager with 4+ years of experience delivering enterprise AI, data, and digital products across complex industries. I have led knowledge-graph workflows, system integrations, and AI personalization products that improved decision-making, efficiency, engagement, and revenue.

At Eclipse Data Innovations, I work on SourceOne, an enterprise knowledge-performance and decision-intelligence platform for complex, asset-heavy industries. SourceOne connects fragmented enterprise data through ontologies and knowledge graphs, enabling analytics, machine learning, simulation, optimization, and interactive decision-support applications.

My work spans product discovery, requirements, roadmaps, data products, customer demonstrations, technical workshops, RFQs, SOWs, training, and enterprise implementation planning. I partner with engineering, data science, sales, domain experts, and enterprise customers from strategy through adoption.

My previous experience includes healthcare financial technology, hospital SaaS and EMR/EHR integrations, AI-powered consumer personalization, product analytics, experimentation, data governance, and interoperability.

Core Areas

Technical Product Management • Enterprise AI • Decision Intelligence • Knowledge Graphs • Data Products • Product Strategy • Product Discovery • Roadmapping • Data Governance • Product Analytics

I hold a Master of Science in Information Systems Management from Arizona State University and a Bachelor of Engineering in Computer Engineering.

Connect with me on LinkedIn or email me at darshbhimani88@gmail.com

Daniel lewis
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Daniel lewis

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Education

Education

  1. Master of Science in Information Systems Management

    W. P. Carey School of Business — Arizona State University
    August 2022 — August 2023

    GPA: 3.87/4.0

    Focus areas included AI and business, enterprise systems, data analytics, business process analysis, information security, product and portfolio management, and IT strategy.

  2. Bachelor of Engineering in Computer Engineering

    University of Mumbai
    2017 — 2021

    Graduated Summa Cum Laude.

Experience

Professional Experience

  1. AI Product Manager

    Eclipse Data Innovations
    September 2024 — Present

    • Reduced operational decision time by 12% by owning product requirements for ontology-driven workflows connecting ERP, sensor, API, database, and document data into reusable knowledge graphs and decision-support applications.

    • Influenced an estimated $6.8M in annual operational value by translating customer use cases into AI-enabled maintenance, planning, analytics, and decision-support workflows.

    • Accelerated customer validation and implementation readiness by leading product discovery, demonstrations, technical workshops, training, RFQs, SOWs, and solution design with engineering, data science, sales, and enterprise stakeholders.

    • Improved workflow and visualization accuracy by 32% by translating complex operational relationships into acceptance criteria for multi-relational models, analytical dependencies, and enterprise applications.

  2. Technical Product Manager

    Startup Peel
    September 2023 — September 2024

    • Increased public-beta engagement by 25% by owning product discovery, onboarding, funnel design, user stories, and feature prioritization for a healthcare financial-management platform.

    • Reduced launch time by 3 weeks by managing roadmap priorities, acceptance criteria, dependencies, and Agile delivery across product, engineering, design, analytics, and business teams.

    • Identified 15+ priority patient needs through user research, healthcare-cost analysis, behavioral data, SQL, and Power BI.

    • Developed a data-governance and risk framework covering data quality, privacy-sensitive workflows, integrations, ownership, and hospital-network dependencies.

    • Led A/B testing and product experimentation for expense-visibility and financial-management workflows.

    • Used customer feedback, market trends, and product analytics to guide roadmap decisions and improve product-market alignment.

  3. IT Product Manager Intern

    Cox Enterprises
    February 2023 — July 2023

    • Supported product development and deployment of Cox Prosight, improving hospital operational efficiency by approximately 14%.

    • Coordinated integrations across Prosight, Wayfinding, EMR, and EHR systems, accelerating access to critical patient and operational information by approximately 27%.

    • Reduced response time for time-sensitive hospital events by approximately 45% by defining smart-alert, business-rule, workflow, and acceptance-criteria requirements.

    • Improved healthcare-data interoperability by validating data flows and coordinating integration requirements across clinical and operational systems.

    • Used SQL, Python, and Power BI to analyze hospital data, automate reporting, and communicate operational insights to technical and nontechnical stakeholders.

    • Supported ETL, data-quality, delivery-risk, and rollout requirements, improving the scalability and reliability of healthcare analytics.

  4. Graduate Research Aide

    Arizona State University
    January 2023 — July 2023

    • Supported research and development of an AI-enabled traffic-camera concept focused on data capture, visualization, and operational analysis.

    • Contributed to product vision, requirements, roadmap planning, data-mapping, and visualization requirements.

    • Used SQL, Python, Power BI, and Power Query to clean, analyze, and visualize operational and project data.

  5. Associate Product Manager

    Tata Consultancy Services
    July 2021 — July 2022

    • Generated approximately $4.11M in revenue growth and reduced churn by 9% by helping launch an AI-driven cashback recommendation capability.

    • Achieved 92% classification accuracy by developing customer-segmentation models that improved personalized offer targeting.

    • Improved customer segmentation by 14% through behavioral analysis and Tableau dashboards that guided targeting and product decisions.

  6. Data & Product Analyst Intern

    EQLAB
    September 2020 — February 2021

    • Helped shape product vision and roadmap priorities for an augmented-reality B2B SaaS platform.

    • Supported launch from concept to market through requirements coordination, stakeholder feedback, and Agile delivery.

    • Analyzed KPI failures and partnered with developers to improve application performance and usability.

  7. Application Developer Intern

    Roti Bank Mumbai
    May 2019 — August 2020

    • Co-developed a cross-platform food-distribution application supporting coordination among donors, volunteers, and distribution teams.

    • Used SQL and Python to analyze food-availability patterns and support distribution planning.

    • Worked within an Agile team to prioritize features and improve application usability.