BEGIN:VCALENDAR
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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260413T063630Z
UID:25B2F85A-B365-47D7-9167-50A19868DC0B
DTSTART;TZID=Asia/Kolkata:20260411T160000
DTEND;TZID=Asia/Kolkata:20260411T173000
DESCRIPTION:From Raw Data to Real Impact – A Data Scientist&#39;s Take on Sma
 rt Decisions\n\nAn online webinar on “From Raw Data to Real Impact” is
  organized to help students bridge the gap between basic awareness of mach
 ine learning and practical understanding of real-world applications. The s
 ession is delivered by Mr. Dhruvkumar R. Patel\, Data Scientist.\n\nThe se
 ssion is specifically designed for students who find themselves somewhere 
 between “I’ve heard of machine learning” and “I could never do tha
 t.” It aims to simplify concepts and provide a structured\, step-by-step
  understanding of how machine learning works in real scenarios.\n\nDuring 
 the webinar\, a real-world problem is taken and explored through the lens 
 of a data scientist. Participants follow the complete journey - from raw d
 ata to meaningful outcomes - gaining clarity on each stage of the process.
 \n\nBy the end of the session\, students not only see a working solution b
 ut also understand how it is built\, thereby strengthening their confidenc
 e and interest in the field of data science and machine learning.\n\nKey T
 akeaways:\n\n- Understanding the end-to-end workflow of a data science pro
 blem\n- Practical exposure to real-world machine learning applications\n- 
 Step-by-step breakdown of problem-solving approach\n- Increased confidence
  in exploring data science concepts\n\nOrganised By:\n\n- IEEE Student Bra
 nch\, Kadi Sarva Vishwavidyalaya\n- IEEE Gujarat Section\n\nDate: 11th Apr
 il 2026\nTime: 4:00 PM to 5:30 PM (IST)\nMode: Online Webinar\n\n[From Raw
  Data to Real Impact Webinar Poster]\n\nSpeaker(s): \, Mr. Dhruvkumar R. P
 atel\n\nAgenda: \nAgenda\n\n- Participant login and session initiation\n- 
 Welcome address and introduction of the speaker\n- Overview of data scienc
 e and machine learning concepts\n- Understanding a real-world problem stat
 ement\n- Step-by-step walkthrough of the data science workflow\n- Data pre
 processing\, modeling\, and interpretation of results\n- Insights into rea
 l-world applications and decision-making\n- Interactive question and answe
 r session\n- Conclusion and vote of thanks\n\nVirtual: https://events.vtoo
 ls.ieee.org/m/553800
LOCATION:Virtual: https://events.vtools.ieee.org/m/553800
ORGANIZER:ieeeksv@ksv.ac.in
SEQUENCE:31
SUMMARY:From Raw Data to Real Impact: A Data Scientist&#39;s Take on Smart Deci
 sions with Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/553800
X-ALT-DESC:Description: &lt;br /&gt;&lt;h2&gt;From Raw Data to Real Impact &amp;ndash\; A D
 ata Scientist&#39;s Take on Smart Decisions&lt;/h2&gt;\n&lt;div style=&quot;display: flex\; 
 flex-wrap: wrap\;&quot;&gt;&lt;!-- Left Column: Text --&gt;\n&lt;div style=&quot;flex: 1 1 60%\;
  padding-right: 20px\; text-align: justify\; min-width: 280px\;&quot;&gt;\n&lt;p&gt;An o
 nline webinar on &lt;strong&gt;&amp;ldquo\;From Raw Data to Real Impact&amp;rdquo\;&lt;/str
 ong&gt; 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 &lt;strong&gt;Mr. Dhruvkumar R. Patel&lt;/strong&gt;\, D
 ata Scientist.&lt;/p&gt;\n&lt;p&gt;The session is specifically designed for students w
 ho find themselves somewhere between &amp;ldquo\;I&amp;rsquo\;ve heard of machine 
 learning&amp;rdquo\; and &amp;ldquo\;I could never do that.&amp;rdquo\; It aims to sim
 plify concepts and provide a structured\, step-by-step understanding of ho
 w machine learning works in real scenarios.&lt;/p&gt;\n&lt;p&gt;During the webinar\, a
  real-world problem is taken and explored through the lens of a data scien
 tist. Participants follow the complete journey - from raw data to meaningf
 ul outcomes - gaining clarity on each stage of the process.&lt;/p&gt;\n&lt;p&gt;By the
  end of the session\, students not only see a working solution but also un
 derstand how it is built\, thereby strengthening their confidence and inte
 rest in the field of data science and machine learning.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Ke
 y Takeaways:&lt;/strong&gt;&lt;/p&gt;\n&lt;ul style=&quot;margin-top: 0\;&quot;&gt;\n&lt;li&gt;Understanding
  the end-to-end workflow of a data science problem&lt;/li&gt;\n&lt;li&gt;Practical exp
 osure to real-world machine learning applications&lt;/li&gt;\n&lt;li&gt;Step-by-step b
 reakdown of problem-solving approach&lt;/li&gt;\n&lt;li&gt;Increased confidence in exp
 loring data science concepts&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&lt;strong&gt;Organised By:&lt;/strong
 &gt;&lt;/p&gt;\n&lt;ul style=&quot;margin-top: 0\;&quot;&gt;\n&lt;li&gt;IEEE Student Branch\, Kadi Sarva 
 Vishwavidyalaya&lt;/li&gt;\n&lt;li&gt;IEEE Gujarat Section&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p&gt;&lt;strong&gt;Dat
 e:&lt;/strong&gt; 11&lt;sup&gt;th&lt;/sup&gt; April 2026&lt;br&gt;&lt;strong&gt;Time:&lt;/strong&gt; 4:00 PM t
 o 5:30 PM (IST)&lt;br&gt;&lt;strong&gt;Mode:&lt;/strong&gt; Online Webinar&lt;/p&gt;\n&lt;/div&gt;\n&lt;!--
  Right Column: Image --&gt;\n&lt;div style=&quot;flex: 1 1 35%\; min-width: 240px\;&quot;&gt;
 &lt;img style=&quot;width: 100%\; border-radius: 8px\;&quot; src=&quot;https://vtools.vtools
 .ieee.org/vtools_ui/media/display/25dd04e1-c0c7-4523-a276-b5bb2e01e103&quot; al
 t=&quot;From Raw Data to Real Impact Webinar Poster&quot;&gt;&lt;/div&gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;
 Agenda: &lt;br /&gt;&lt;h3&gt;Agenda&lt;/h3&gt;\n&lt;ul style=&quot;text-align: justify\;&quot;&gt;\n&lt;li&gt;Par
 ticipant login and session initiation&lt;/li&gt;\n&lt;li&gt;Welcome address and introd
 uction of the speaker&lt;/li&gt;\n&lt;li&gt;Overview of data science and machine learn
 ing concepts&lt;/li&gt;\n&lt;li&gt;Understanding a real-world problem statement&lt;/li&gt;\n
 &lt;li&gt;Step-by-step walkthrough of the data science workflow&lt;/li&gt;\n&lt;li&gt;Data p
 reprocessing\, modeling\, and interpretation of results&lt;/li&gt;\n&lt;li&gt;Insights
  into real-world applications and decision-making&lt;/li&gt;\n&lt;li&gt;Interactive qu
 estion and answer session&lt;/li&gt;\n&lt;li&gt;Conclusion and vote of thanks&lt;/li&gt;\n&lt;/
 ul&gt;
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