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.

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Speakers

Jonty Rhodes

Jonty Rhodes

Former Cricketer
Nicolaus Carr

Nicolaus Carr

Chief Product Officer at Annalise.ai
Kartik Ranganath

Kartik Ranganath

General Manager, Business IT at SHELL R&D
Biren Ghose

Biren Ghose

Country Head at Technicolor Creative Studios

Jacy Reese Anthis

Jacy Reese Anthis

Co-Founder at Sentience Institute
Anand Srinivasan

Anand Srinivasan

CIO at Akasa Air
Govind Rajith Cheramkalam

Govind Rajith Cheramkalam

Director – Commercial Reporting and Analytics at Astrazeneca
Avinash Samrit

Avinash Samrit

Country Head – India & President – Global Capability Center at Clean Harbors


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 till 4th Aug 2023
  • All access, 3 day passes
  • Conference Lunch on all 3 days
  • Group Discount available
  • Late Passes

    AVAILABLE FROM 23rd SEP 2023
  • All access, 3 day passes
  • No Group Discount available
  • 25000

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Madalasa Venkataraman