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Online Orientation Session on

Lifecycle of a Data Science Project

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  • About the Webinar

    Duration

    60 mins

    Day

    September 1, 2018

    Time

    11:00 am

    Who is the Speaker?

    Mathangi is currently leading the Data Sciences team @Phonepe. She has 14+ years of proven track record in building world-class data sciences solutions and products. She has extensively worked on building chatbots, pricing systems, credit scoring systems and productizing text mining insights. She has 6 Patent grants and 20+ patents pending in the area of inuitive customer service,indoor positioning and user profiles. She is adept across machine learning , text mining NLP technologies & tools. Prior to Phonepe she has built data sciences team across organizations like Citi, 247 customer, Emirates NBD. 

    Mathangi Sri

    Key Takeaways
    • You will appreciate the variety of the team that needs to make AI & ML model go live – from analysts to engineers to designers to project managers.
    • The planning that needs to go in for an impactful model.
    • How to define success and the nuances around it.
    • The essence of feedback and data instrumentation for continuous learning.

    Session Agenda

    Do you know – what does it take to deploy a Data Science model? How do the Machine Learning models go live? What happens if the model fails? And why do they fail? How is the real world different from data science hackathons and contest?
    Join Mathangi Sri on a webinar where we can discuss the Machine Learning project in depth –

    • Where does the project originate
    • Who all should be involved as part of the project
    • The essence of a cross-functional team
    • Measurement strategies
    • Last but the most important – how to optimize the model for a better performance

    Who Should Attend?



    Students

    Computer Science Graduates

    Aspiring Machine Learning Engineers



    CTO’s

    Aspiring Data Analysts

    Aspiring Data Scientists

    Software Engineers