Prasad Srinivasa

Assistant Vice President at Genpact

Prasad is seasoned data scientist with 20 years of experience; He has built and
implemented AI and ML solutions, frameworks and products in several banks and
financial institutes. His expertise includes machine learning, NLP, credit risk
modeling, fraud rule manager, collections models, customer analytics, customer
retention, and offer optimization. He is well versed in developing and implementing
data-driven solutions based on advanced analytic techniques.  He leads the
advanced analytics innovation team for Banking and Capital Markets industry
vertical. His charter is to design and develop digital solutions leveraging AI and ML
across all banking functions. He delivered guest lectures in various institutes such as
IMT (Ghaziabad), IIM Trichy, TAPMI, Manipal and IIT Tirupati.

All Sessions by Prasad Srinivasa

  • Day 1

    April 22, 2021

  • 17:00  - 17:40
    In the digital age, Data is the new oil and data engineers are the experts in the company who understand the various sources and forms the data comes from, how it is to be stored, how can it be made easily accessible at a time and in the format required, how it should be protected – thus enabling the company to make use of the data for business growth. Though anyone with the right set of technical competencies and aptitude can be groomed as a Data Engineer, people with a background in Science and Engineering are the ones who are most preferred and suited for the job. The ideal candidate needs to be comfortable with the notion of working data and making sure that (s)he has the interest to handle different kinds of systems and technologies. Large companies like Amazon, Facebook or Google have massive amounts of data that needs to be managed – so that Amazon can make the right recommendations and Google can give the right search results in very quick time. This requires knowledge of a number of tools and technologies, including Cloud and Big Data systems, and also understanding of all the processes that data goes through. This is only possible due to the contribution of a large army of data engineers working smartly to manage all the data. Do you think you have it in you to be a part of the data economy that nurtures the data pipelines behind the billion-dollar industry - come and join the session where experts from Academics & Industry share their insight and roadmap for “Data Engineering - the fastest growing Tech Job” on 22nd April at Skillup 2021.
    Knowledge Sessions




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Prasad Srinivasa