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Avishkar Misra Resume


2022 -



As Founder and CEO, I am building a SaaS application that empowers anyone with Excel skills to use AI for better decisions. The goal is to help level the playing field for small and medium-sized enterprises in harnessing AI to improve their business in line with their priorities.

2019 -


TracFone Wireless (Verizon)

As Head of Data Science, I established the data lake, data science and analytics agile teams to support 10 brands with 20 million customers, helping TracFone achieve the highest NPS, lowest customer churn rate in company's 20 year history and $8 billion in annual revenue.

2017 -


ThinkBig Analytics (Teradata)

As Director of the Data Science practice in the Americas, I led a team of data scientists to help Fortune 500 companies envisage, innovate and deploy AI and ML solutions in line with their business objectives.

2015 -



As Chief Data Scientist for NAS Big Data Platforms, I helped Fortune 500 to define and execute their Big Data, Data Science and Cloud strategy across all sectors. I also, invented new algorithms to automate aerial or drone image analysis applied to large scale farms, and synthetic data generation from IoT devices to protect user privacy. 

2012 -



As Machine Learning Scientist, I had a big impact on three projects.
1. Invented a new algorithm to improve relevance of product recommendations by 2x  described as a "Once-in-a-decade-leap"

2. Built AmazonGo retail store using state of art in computer vision, sensor fusion and deep learning techniques to create a fully automated checkout process.

3. Launched machine learning based advertisement targeting platform that improved conversions and purchases by 3x, by targeting users with more relevant ads as they shopped.

2010 -



As a Software Engineer I developed SQL language features in Microsoft's SQL Server 2012 and Cloud-based SQL Azure relational database engine.

2006 -


CAE Australia

As a Software Engineer I developed real-time flight simulators to help train pilots.

2002 -


LMIK Project (MIA, Philips, UNSW)

As a researcher, I applied AI method to incrementally engineer complex computer vision that automatically detects anatomical structures and diffuse lung diseases in High-Resolution CT (medical) scans.


2003 - 2010

University of New South Wales | PhD in Computer Science

Avishkar received his Doctorate in computer science from the University of New South Wales for his research in building incremental engineering computer vision systems.

1998 - 2002

University of New South Wales | Bachelor of Software Engineering

Avishkar received his Bachelor's Degree in Software Engineering from the University of New South Wales.


  • Data and Analytics
  • Business Strategy
  • Artificial Intelligence
  • Machine Learning/ Deep Learning
  • Data Driven Storytelling
  • Big Data
  • Organizational Transformation
  • Research & Innovation
  • Design Thinking
  • Agile 
  • Data Monetization
  • Python
  • Java
  • C/C++
  • SQL
  • Nvidia CUDA

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