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Shri, data and AI leader

Data and AI that leaders can act on

I am Shri. For 12 years I have designed data platforms and analytics for global businesses in retail, manufacturing, healthcare, consumer goods and hospitality. Today I lead data analytics and AI for an international group, and teach what I have learned here.

Portrait of Shri

Shri

Srinivasan Nageshkumar

Data and AI leader, architect

Experience
12 years, since 2014
Industries
7 sectors
Based in
Dubai, UAE
Languages
English, Tamil, Hindi
Teaches
Data and BI, SQL next
Writes
Every second Thursday

What I do

Five things I am accountable for

The tools change every year. These do not.

  1. 1

    Data strategy

    Deciding which numbers the business runs on, where each one comes from and who answers for it.

  2. 2

    Platform architecture

    Designing cloud data platforms that scale, and choosing between options on cost, speed and risk.

  3. 3

    AI-powered transformation

    Putting AI to work on real business questions, with the checks that make its answers safe to use.

  4. 4

    Process automation

    Taking the manual steps out of reporting, reconciliation and month-end.

  5. 5

    Governance and controls

    Access, security and definitions that stand up when someone asks how a number was made.

Career

From BI lead to leading data and AI

Twelve years, one direction: closer to the decision each time.

  1. 2025 to now

    Leads data analytics and AI

    International hospitality group, Dubai

    Owns the data platform, the reporting estate and the move to AI across the group.

  2. 2025

    Senior Technical Architect

    Analytics consultancy

    Led the BI team, a Centre of Excellence and presales, and drove Microsoft Fabric adoption.

  3. 2024 to 2025

    Architect

    Analytics and AI firm

    Product analytics and performance frameworks for global manufacturing and consumer brands.

  4. 2019 to 2024

    Technical Architect

    Analytics consultancy

    Solution architecture for sales and manufacturing analytics at global retail, industrial and pharma companies.

  5. 2014 to 2019

    BI lead

    Global services company

    Data warehousing and reporting for HR and finance functions in technology and aviation.

Industries

  • Retail
  • Manufacturing
  • Healthcare and pharma
  • Consumer goods
  • Aviation
  • Technology
  • Hospitality

Business functions

  • Sales
  • Marketing
  • Manufacturing
  • HR
  • Finance

Certified in

  • Microsoft Fabric Analytics Engineer (DP-600)
  • Azure data engineering (DP-200, DP-201)
  • Power BI data analyst (DA-100)
  • Data warehousing with SQL (70-767)
  • Databricks Lakehouse
  • Tableau

Education

Bachelor of Engineering

Platforms

What I build on, and teach

  • Microsoft Fabric
  • Power BI
  • Azure
  • AWS
  • Databricks
  • Snowflake
  • Synapse
  • Tableau
  • SQL
  • Python
  • SAP
  • Oracle

This site

Everything I teach is here

A complete beginner course today, SQL next and a roadmap from Power BI to AI, plus a letter every second thursday.