Madalasa Venkataraman

A researcher at heart and a contrarian by nature, Madhu brings a unique perspective in leveraging the vast knowledge of statistical concepts and analytical techniques to solve complex business problems. Madhu has 18+ years of experience across marketing, finance insurance, and urban governance. A Fellow from IIM Bangalore, she has worked in academia and corporate sector.

Madhu drives the culture of innovation at TEG and encourages the team to challenge status quo. She is often seen huddling with project teams to develop solutions through brainstorming and whiteboarding. With a strong research foundation in business and an passion in data sciences, Madhu is able to marry the classical concepts of data sciences and machine learning from academia with the result-oriented process-driven priorities of industry. Madhu’s area of interest include: marketing mix models, semantic/text analytics, recommender systems, forecasting, fraud analytics and pricing analytics.

She teaches finance and econometrics courses at IIMs and other prestigious universities. Madhu is also an avid columnist, her publications are frequently seen in academic and policy journals.

When she’s not torturing data to confess to its deep, dark secrets, Madhu destresses with mind-numbing pulp fiction. And if you ever want to tickle your funny bone, checkout her morning posts on TEG buzz.

Our
Speakers

Bhaichung Bhutia

Bhaichung Bhutia

Indian former footballer
Mohandas Pai

Mohandas Pai

Chairman at Aarin Capital and former CFO and Board Member at Infosys
Ronnie Screwvala

Ronnie Screwvala

Co-founder upGrad & Swades Foundation
Shashank Kumar

Shashank Kumar

Managing Director and Co-Founder at Razorpay

Bhupendra Chaubey

Bhupendra Chaubey

Journalist
Sunil Gupta

Sunil Gupta

Co-founder, Managing Director & CEO at Yotta
Manu Kumar Jain

Manu Kumar Jain

India CEO at G42
Pradeep Gulipalli

Pradeep Gulipalli

Co- Founder & CEO at Tiger Analytics, India


Grab your ticket for a unique experience of inspiration, meeting and networking for the AI & data science industry

Book your tickets at the earliest. We have a hard stop at 1200 passes.

Note: Ticket Pricing to change at any time.

  • Early Bird Passes

    Available from 12th Apr till 11th Jul 2025
  • All access, 3 day passes
  • Conference Lunch on all 3 days
  • Group Discount available
  • 15000
  • Regular Passes

    Available from 12th July to 22nd Aug 2025
  • All access, 3 day passes
  • Conference Lunch on all 3 days
  • Group Discount available
  • 25000
  • Late Passes

    AVAILABLE FROM 23rd Aug 2025
  • All access, 3 day passes
  • Conference Lunch on all 3 days
  • No Group Discount available
  • 35000

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Madalasa Venkataraman