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ZENTICS

ZENTICS

To build a vibrant community of aspiring data scientists and AI enthusiasts, empowering them with the skills, knowledge, and creativity to harness the power of data through innovation, collaboration, real-world problem-solving, and a passion for data-driven excellence.

Objectives
  • Provide club members with comprehensive learning opportunities in data science through workshops, seminars, and hands-on training, enabling them to gain expertise in recent technologies.
  • Promote collaboration among students, faculty, and industry professionals, creating an environment that encourages teamwork, knowledge sharing, and networking opportunities.
  • Engage club members in solving real-world problems through data-driven projects and competitions, equipping them with practical experience and preparing them for successful careers.
Core Values
  • Foster a culture of continuous exploration, encouraging creative solutions and advancements in data science technologies.
  • Promote teamwork and knowledge-sharing within the community, driving collective growth and success in solving complex problems.
  • Emphasize real-world problem-solving by applying data science skills to tackle relevant challenges, ensuring that club members gain hands-on experience.
Purpose(s)

To empower individuals with the skills and knowledge to unlock the insights hidden within the data, enabling them to make informed decisions and drive meaningful impact in the field of data analytics.

Leadership Roles
President Darshana P B.Tech AI&DS – II Year
Vice President Akash M B.Tech AI&DS – II Year
Secretary Jose Priyadharshini M B.Tech AI&DS – II Year
Joint Secretary Keerthi S B.Tech AI&DS – II Year
Treasurer Janani K B.Tech AI&DS – II Year
Public Relations Dhivakar R B.Tech AI&DS – II Year
Technical Events Head Hariharan T B.Tech AI&DS – II Year
Web Developer Sivaranjani A S B.Tech AI&DS – II Year
Graphic Designer Dhinesh R B.Tech AI&DS – II Year
Content Writer Manikandan L R B.Tech AI&DS – II Year
Community Manager Sudharsan R B.Tech AI&DS – II Year
Editor/ Newsletter & Portfolio Anmanth Raj S B.Tech AI&DS – II Year
Design Team Kartheeswaran S B.Tech AI&DS – II Year
Reporting & Documentation Balachandran.K B.Tech AI&DS - II Year
Mentorship Program Coordinator Sugundan S B.Tech AI&DS – II Year
Social Media Abisheak B B.Tech AI&DS – II Year
Advisors
Academic Expert Dr. Thangavel Murugan, Assistant Professor, Department of Information System and Security, UAE
Industry Expert Mr. S Satheesh Kumar, Tech Lead-HCL, Data Science Expert
Alumni Mr. T. Thirumurugan, Data Scientist-Barclays
Club Mentor Mrs. S. Akilandeswari, AP/ AI&DS, EGSPEC
Club Coordinator Dr. J. Amutha, AP/Addln. HoD/ AI&DS, EGSPEC
Club Convener Dr. S. Palani Murugan, HoD/ AI&DS, EGSPEC
Initiatives

1. Knowledge Enhancement:

  • Organize workshops and seminars: Invite industry experts and researchers to deliver talks on various Data Science related topics like Big Data Analytics, Data Wrangling & Feature Engineering and Data Monetization
  • Host study sessions and discussion groups: Encourage peer-to-peer learning by organizing sessions where members can discuss complex Data Science related concepts, share resources, and learn from each other.
  • Maintain a knowledge repository: Create a central platform (website, online forum, etc.) where members can access learning materials, tutorials, code examples, and project ideas related to Data Science.

2. Skill Development:

  • Conduct hands-on workshops: Provide practical experience by hosting workshops on Mastering Data analytics and visualization techniques.
  • Organize coding competitions and hackathons: Encourage problem-solving and application of data science by organizing challenges where members can code data science solutions to real-world problems.
  • Offer mentorship programs: Connect experienced members with new members to provide guidance and support in learning data science and building projects.

3. Community Building:

  • Organize data Science-themed social events: Facilitate networking and collaboration by organizing events like movie screenings or career discussions related to data science.
  • Participate in inter-college competitions and hackathons: Represent the college in data science-related competitions, showcasing the clubs talent and promoting collaboration with other institutions.
  • Collaborate with other clubs: Partner with other technical clubs on projects that intersect with AI club, like robotics club, data science club, or game development club.

4. Outreach and Advocacy:

  • Organize data science awareness campaigns: Raise awareness about the potential of using data science in society and its impact on various fields through talks, workshops, and presentations in schools or community centers.
  • Volunteer for data science-related projects: Contribute to open-source data science projects or volunteer for local organizations working on data science-driven solutions for social good.

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