Independent Data & AI Consulting

From operational data to decision intelligence.

I'm Some Aditya Mandal, an independent Data and AI consultant based in Ireland.

I combine enterprise consulting experience, AI leadership, and hands-on delivery across analytics, machine learning, GenAI/RAG, data platforms, computer vision, and decision-support systems.

I help SMEs, scale-ups, and product teams turn messy operational data, manual reporting, and unclear AI ideas into practical analytics, automation, and AI systems.

My focus is simple: reliable data, practical AI, and systems people actually use.

Practical engagements, real outcomes

AI Opportunity Audits

Identify where AI can create real value in your business — and where it is just noise. I assess your processes, data, reporting workflows, and operational pain points to create a practical AI and data roadmap.

GenAI & RAG Prototypes

Build useful GenAI tools grounded in your business data — internal knowledge assistants, document Q&A systems, workflow copilots, support tools, and Retrieval-Augmented Generation prototypes.

Analytics Modernisation

Replace manual reporting, broken spreadsheets, and unreliable dashboards with cleaner analytics workflows that teams can trust.

ML & Predictive Modelling

Use historical and operational data to forecast outcomes, detect patterns, and support better decisions.

Data & AI Architecture Advisory

Design practical foundations for analytics, automation, and AI. I advise on data platforms, Azure, Microsoft Fabric, lakehouse patterns, ML workflows, GenAI architecture, and scalable analytics systems.

Fractional Data & AI Leadership

Senior Data and AI support without a full-time hire. Ideal for teams that need direction, roadmap ownership, technical review, or delivery guidance across analytics and AI initiatives.

Real problems, not AI theatre

I work best with organisations that have real data, reporting, or operational problems — and want practical implementation rather than AI theatre.

  • SMEs exploring AI adoption
  • Scale-ups with growing data complexity
  • Product teams building AI-powered features
  • Consulting firms needing specialist delivery support
  • Operations-heavy businesses needing better decision support
  • Founders, CTOs, COOs, and leadership teams making AI/data investment decisions

A grounded, build-what-matters approach

  1. Understand the business problem. Start with the workflow, decision, or process that needs to improve.
  2. Assess the data reality. Review the available data, systems, reporting flows, risks, and technical constraints.
  3. Prioritise practical opportunities. Focus on use cases with clear value, realistic implementation paths, and adoption potential.
  4. Design and build the right solution. Depending on the problem, the answer may be a dashboard, pipeline, GenAI assistant, ML model, automation workflow, or roadmap.
  5. Keep it usable. A system only matters if people trust it and use it.

Enterprise depth, hands-on delivery

I combine enterprise consulting experience, AI leadership, and hands-on delivery across Data, Analytics, Machine Learning, and GenAI.

My experience spans AI strategy, modern data platforms, Power BI, Azure, Python, SQL, ML systems, RAG, computer vision, and practical decision-support systems.

The focus is simple: build useful systems that help organisations move faster, reduce manual work, and make better decisions.

What you walk away with

  • Clear AI and data roadmap
  • Prioritised use cases
  • Better dashboards and reporting
  • Reduced manual effort
  • Working GenAI/RAG prototype
  • ML proof-of-concept
  • Data platform direction
  • Practical implementation plan

Let's identify what's worth building — and what's not.

Exploring AI, modernising analytics, or trying to get more value from your operational data? Let's identify what is worth building — and what is not.

Book a consultation · consulting@someaditya.in · someaditya@outlook.com