From Raw Data to Real Impact: A Data Scientist's Take on Smart Decisions with Machine Learning

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From Raw Data to Real Impact – A Data Scientist's Take on Smart Decisions

An online webinar on “From Raw Data to Real Impact” is organized to help students bridge the gap between basic awareness of machine learning and practical understanding of real-world applications. The session is delivered by Mr. Dhruvkumar R. Patel, Data Scientist.

The session is specifically designed for students who find themselves somewhere between “I’ve heard of machine learning” and “I could never do that.” It aims to simplify concepts and provide a structured, step-by-step understanding of how machine learning works in real scenarios.

During the webinar, a real-world problem is taken and explored through the lens of a data scientist. Participants follow the complete journey - from raw data to meaningful outcomes - gaining clarity on each stage of the process.

By the end of the session, students not only see a working solution but also understand how it is built, thereby strengthening their confidence and interest in the field of data science and machine learning.

Key Takeaways:

  • Understanding the end-to-end workflow of a data science problem
  • Practical exposure to real-world machine learning applications
  • Step-by-step breakdown of problem-solving approach
  • Increased confidence in exploring data science concepts

Organised By:

  • IEEE Student Branch, Kadi Sarva Vishwavidyalaya
  • IEEE Gujarat Section

Date: 11th April 2026
Time: 4:00 PM to 5:30 PM (IST)
Mode: Online Webinar

From Raw Data to Real Impact Webinar Poster


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  Speakers

Mr. Dhruvkumar R. Patel of Myntra Designs Private Limited

Topic:

From Raw Data to Real Impact: A Data Scientist's Take on Smart Decisions with Machine Learning





Agenda

Agenda

  • Participant login and session initiation
  • Welcome address and introduction of the speaker
  • Overview of data science and machine learning concepts
  • Understanding a real-world problem statement
  • Step-by-step walkthrough of the data science workflow
  • Data preprocessing, modeling, and interpretation of results
  • Insights into real-world applications and decision-making
  • Interactive question and answer session
  • Conclusion and vote of thanks