Announcement
Top 3 Winners :
Participant Name |
Participant College Name |
Winner category |
Kunal Saini |
Delhi Technological University |
1st prize |
Aryan Tanwar |
Delhi Technological University |
2nd prize |
Varun Laul |
Delhi Technological University |
3rd prize |
Top 10 Winners :
Participant Name |
Participant College Name |
Winner category |
Kunal Saini |
Delhi Technological University |
1st prize |
Aryan Tanwar |
Delhi Technological University |
2nd prize |
Varun Laul |
Delhi Technological University |
3rd prize |
AIBHINAV UPADHYAY |
Netaji Subhash University of Technology |
Top 10 |
AMAN MISHRA |
Delhi Technological University |
Top 10 |
Manish Kumar |
Delhi Technological University |
Top 10 |
SAIBAL PATRA |
Netaji Subhas Institute of Technology |
Top 10 |
Satyam Mishra |
Netaji Subhash Institute of Technology |
Top 10 |
Vidit Pareshbhai Patel |
Netaji Subhas University Of Technology |
Top 10 |
RAGHAV KRISHAN GARG |
Netaji Subhas Institute of Technology |
Top 10 |
Calling all aspiring analytics enthusiasts and problem solvers! Are you ready to showcase your analytical skills and innovative thinking? Join us for the SKYHACK Data Analytics Hackathon, a thrilling competition that challenges you to harness the power of data to solve real-world challenges for the airline industry!
Why Participate:
- Hands-On Experience: Put your theoretical knowledge into practice by working on real-world datasets and challenges.
- Prizes and Recognition: Compete for exciting prizes and gain recognition for your analytical prowess and problem-solving abilities.
- Skill Enhancement: Sharpen your data analytics, critical thinking, and teamwork skills under tight deadlines.
- Career Opportunities: Showcase your talents to get a direct interview call from United Airlines.
Objectives of this Hackathon:
- Talent Identification: Identify and connect with top data analytics talent among recent graduates who demonstrate exceptional skills, creativity, and problem-solving abilities during the hackathon.
- Recruitment Opportunity: Source potential candidates for internships, entry-level positions, or even future roles within your organization's data analytics teams.
- Innovation Showcase: Witness firsthand the innovative solutions and fresh perspectives participants bring to data-related challenges, potentially inspiring new approaches within your company.
- Engagement and Branding: Enhance your United Airlines' brand visibility by associating with an educational event that supports skill development and showcases our commitment to nurturing young talent.
Expectations from participants:
- Active Engagement: We expect participants to actively engage in the hackathon activities, including data analysis, and problem-solving.
- Data-Driven Approach: We encourage participants to use data-driven methodologies, tools, and techniques to analyze and interpret the provided datasets.
- Innovative Thinking: We're looking for innovative and creative solutions that go beyond the obvious, showcasing participants' ability to think outside the box.
- Technical Proficiency: Participants should demonstrate a solid understanding of data analytics concepts, programming languages (such as Python, R, or others), and relevant software tools.
- Problem-Solving Skills: We expect participants to approach challenges analytically, breaking down complex problems into manageable components and proposing effective solutions.
- Time Management: Participants should manage their time effectively, allocating sufficient time for data analysis, brainstorming, solution implementation, and presentation preparation.
- Attention to Detail: We encourage participants to pay attention to detail in data cleaning, analysis, and visualization to ensure accuracy in their results.
Presentation Skills: Participants should be prepared to present their findings and solutions confidently, using visuals and storytelling to convey their insights effectively.
For your submission, please provide the following:-
- Your report containing your Findings, Insights & Recommendations in the form of a PPT or PDF. You can add visualizations like charts, flow diagrams, snapshots etc. in the report
- Any codes/scripts in Python/R used to work on the data along with instructions to run them. If you have put your scripts on a repository, you can share the link of the same
- Any additional material used to create your report
Please note that there is no limit on the number of slides/pages. The structure of your report should include -table of contents, executive summary, headings , references, footnotes, and appendices