Ullas Nambiar

Keynote at ADCOM 2016

Title : Datascience and Fashion

Abstract:  In this talk,  I will  elaborate upon the data science challenges that are prevalent in e-commerce with some examples from the fashion industry. The fashion industry is a difficult one to be in –  often unpredictable, not efficient and in the case of India, highly unorganised.  Further,  the speed at which fashion trickles down from the ramps of Milan to the streets of Mumbai has reduced drastically with the widespread access to technologies like social media.  In fact, designers  are often using Instagram, Pinterest etc as curtain raisers for their collections.  Ensuring the collections are fresh and trendy is then an existential issue.  Fashion industry has always depended on a combination of past data and human intuition to create new products.  At  Myntra, data scientists are involved in analysing every aspect of the consumer – from most loved color to most accepted fit,  predicting demand for existing styles to forecasting new trends; all to ensure that only the most relevant products are presented to the customer.

Ullas currently heads the Data Science team at Myntra with a focus on Supply Chain Innovations. He has over 15 years of experience in innovation delivery, mentoring and leadership, stakeholder management and building R&D teams. He is an accomplished researcher in knowledge management and analytics with experience in building sustainable innovations for all markets.
Prior to Myntra, he was Scientist & Head- Analytics at EMC, Scientist at IBM Research India and Software Analyst at L&T InfoTech.
Ullas obtained a PhD in Computer Science from Arizona State University in 2005 , a BE in Computer Science from M.S. University of Baroda in 1997 and most recently a Diploma in Innovation and Business Excellence from UC Berkeley Haas School of Business.
He has delivered several keynotes at industry bodies & academic conferences, published 50+ research papers, has 8 patents granted by USPTO and chaired several international conferences including highly successful IIWeb series.
Ullas is a Senior Member of the ACM.