Biddappa Muthappa

Manager, Data Science, MiQ

Biddappa Muthappa is a 9 year veteran of data science with a key focus on driving efficiency in the ad-tech realm by leveraging data intelligence. With experience in leading high performance teams in the ad-tech and digital marketing domains, Biddappa is currently leading the development of some key media products at MiQ.

Having contributed significantly to business growth in terms of professionalising and streamlining the analytical offerings at TESCO, Biddappa is currently some industry first technologies at MIQ. With a key eye for providing driven solutions to client challenges, Biddapa is playing an integral role in scoping of MIQ’s Digital Out Of Home Offering while continuing to develop the existing ad-tech technologies like Measure (MIQ’s measurement solution) and Predictive (MIQ’s offering to build lookalike audiences for an advertising campaign).

Biddappa’s contribution in the field of data science was recently recognised at the MLDS (Machine Learning Developers Summit) where he was conferred the prestigious 40 under 40 Data Scientists Award.


Talks on Wurreka:

From looking for a new phone to deciding on what content one should work on Netflix, data-driven decision making has become an integral part of one’s existence. It is this data-driven decision making that has been at the forefront of driving the efficiency in digital advertising space and MIQ has since its inception taken pride in its ability to unlock actionable insights and using them to power some high performance campaigns with an aim to over deliver for our clients.

During this session, Biddappa will discuss the application of some key data science concepts in the ad-tech industry. He will debunk some common misconceptions about the ad-tech space and discuss the key ingredients for applying Machine learning concepts at scale. Taking MIQ’s ingenious data driven approach to solving some grueling industry challenges, this talk will highlight a data scientists’ approach to solving eclectic industry conundrums.

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