Ankur Verma

I completed my undergrad from IIT BHU in 2013. I have 9 years of industrial experience in the field of Machine Learning and Deep Learning. Lately, i have been spending good time over designing Neural Network architecture for problems like Time Series, Next Logical Purchase and Elasticity. My recent research papers (https://arxiv.org/abs/2010.06952, https://arxiv.org/abs/2010.08130) reflects the same. I am excited about the way Machine Learning is disrupting different business areas and want to utilise my skills to solve real world problems.


I am currently working as Senior Data Scientist @Amazon where I am responsible to write scalable Deep Net solutions for Personalized Marketing team. Previously, I was working @Samya.ai where I was responsible to write scalable Deep Net solutions for demand forecasting. Prior to Samya, I was working @Dunzo, a hyperlocal delivery app where I was responsible for driving, building and deploying Machine Learning solutions. Prior to Dunzo, I was working at Walmart Labs, where I was responsible for architecting and building data science solutions for Merchant Technology and pipelining the solution into Production for business to consume the same.

Apart from this, I have served as mentor for Data Science Career Track on Machine Learning and Deep Learning using Python for Springboard for almost 4 years. At Springboard I was responsible for getting my mentees industry ready in Machine Learning. I am an active participant in Data Science competitions and have completed 50+ ML challenges across channels including Kaggle, Analytics Vidhya, Topcoder, Crowdanalytix. Best performance on Kaggle being rank 12 in Winton Stock Market Challenge and Analytics Vidhya being 1st on Enigma Challenge.

In my 9 years of Machine Learning experience, I have built and scaled machine learning and deep learning models across domains. I have experience working on Python, R, SAS, SQL, Hadoop, Hive. I have build models using both tensorflow as well as pytorch.

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