Pratik Ravani Tech Expert

Pratik works as a Senior data scientist at AtoS Syntel. Involved in various innovative projects and concepts, he applies a range of Machine Learning and Deep Learning algorithms to create and deliver strategic insights. As part of his wide range of assignments, he pieces together new technology trends with shifting business demands to bring about cutting-edge applications. Previously he was a Data Scientist at Synechron and a Consulting Staff Principal at Oracle. For over 12 years, he has been blending his analytical prowess and people skills to tap into the unexplored and less-explored business dimensions and convert them into value creators. Passionate about sharing his continual learnings, he is also a corporate trainer and a speaker at events. Pratik holds an MBA in Finance with Information Technology and a bachelor’s degree in Industrial engineering.

Empower Your algorithms with Explainable Artificial Intelligence (XAI)

Empower Your algorithms with Explainable Artificial Intelligence (XAI)

Imagine that you have applied for a visa for an important business initiative.

The Urgent Need for Wide Adoption of Healthcare Analytics

The Urgent Need for Wide Adoption of Healthcare Analytics

With the increasing adoption and rise of electronic health records (EHRs), especially because of the HITECH act of the US, there has been an unprecedented surge in volumes of clinical information.


Design Thinking for a seamless Data Science practice

Every data-servicing organization has now made peace with the fact that being able to manage its data well along with enabling its clients to manage their data well is a sure-fire path to gain a competitive advantage. So how do many data-talking organizations differ from those few data-driven ones? Why can’t they make a decisive cut?


Analytics as a Service (AaaS) - The Preferred Mode of Data Analytics

The term in the title is a recent entry to the list of something-as-a-service family (SaaS, PaaS, IaaS). It is a web-based analytics service being offered by a specialist vendor who does it well, offers the economical, scalable, and flexible custom options to let the data-leaning organizations try in either a full-blown manner or a phased one depending on their need.


An Indispensable Need for Data and Analytics Leadership (DAL)

For a typical organization, following are statements that must have been a part of almost every employee’s career journey:

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