Our guest today has over 15 years of experience in software development - building products that consistently deliver value while maintaining the perspective of the end users.
Throughout his career he’s grown teams from scratch and has successfully played both the role of mentor and leader.
He’s experienced using multiple programming languages and technology stacks and believes in leveraging that experience to paint a holistic picture of the product to ensure positive impact for his end users.
He’s passionate about developing innovative software solutions, continuous learning, and applying new technologies and skills that can lead to efficient products.
He believes in building products that are performant, scalable, and efficient - that help drive value while delivering solutions to tough business problems.
He enjoys collaborating with research, engineering, and business teams alike in search of finding the optimal solution.
The engineer in him loves optimizing algorithms and prototyping solutions for efficient implementation and he strives to follow engineering best practices in extending prototypes into fully functional, polished, end-products.
He’s a graduate of the highly prestigious India Institute of Technology at Delhi and has worked at companies such as Motorola, Hewlett-Packard, Time, ExxonMobil,
and is currently the Data Science Team Lead at TradeRev where he leads the design, architecture, implementation, and deployment of several machine learning services and products.
So please help me in welcoming our guest today, Amit Jain!
Amit Jain has been a guest on 1 episode.
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Scrum for Data Science Teams | Amit Jain
April 8th, 2020 | Season 1 | 30 mins 51 secs
ai, data science, grit, growth mindset, journey, machine learning, math, passion, persistence, statistics
Software engineer turned machine learning engineer talks about the challenges of taking research into production, as well as what it means to be a leader in data science, the importance of staying humble, and how to handle scrum on data science teams.
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