What if I do not have coding experience?

Don't worry! Participants who want to participate in the hackathon are obviously welcome, however members without experience will be able to learn throughout the day by attending the tracks (presentations/workshops).

What are the learning tracks?

Tracks are just workshops that will be conducted throughout the day. There will be "DevOps", "Github" and "Intro to Data Analysis."

How will projects be evaluated?

Projects will be evaluated on Originality, Community Impact, Ease of Use, Technical Execution, and Information Value.

Do I need a team to particpate?

No, you do not need a team to participate. You will have the option to participate solo or in max teams of 4. However, there will be a period of time to find teammates.

Will there be prizes for the winners?

Yes, prizes will be awarded to all participants in the top 3 teams. Additionally, consolation prizes will be awarded to all participants who stay until the end of the event.

Yes, we will provide lunch and snacks will be available throughout the day.

Random Forest Hackathon

Data and ML Hackathon For Students

Sunday, January 5th, 2025, 8 AM to 6 PM

Zoho Corporation
4141 Hacienda Dr, Pleasanton, CA

Register Now

Random Forest Hacks

The Random Forest hack is an open community for students curious about data and ML. We explore topics like Python programming, data computations, and ML algorithms in a fun and collaborative way. Whether you're new to coding or already a pro, our goal is to invite you to learn and solve community problems using data and ML.

We keep things interesting with our hackathons and learning tracks that build knowledge, teamwork, and creative problem-solving. Join us to learn, experiment, and get inspired by the possibilities of technology and data. This is a great way to geek out with friends over cool data and ML projects!

10

Hours

100+

Participants

3

Workshops

Learning Trackss

DATA, ML, GITHUB

Data & ML Engineer

Bhavya Bellannagari

Bhavya Bellannagari is an Egleston Scholar at Columbia University, pursuing Computer Science and Entrepreneurship. With experience as a Software Engineer Intern at Pinterest, she is passionate about innovation and problem-solving. Bhavya excels in combining technical expertise with an entrepreneurial vision to drive impactful solutions and achieve excellence in her academic and professional pursuits.

Sr.Software Engineer

Sanshit Sharma

Sanshit is a Senior Engineer, with 10+ years of experience in the tech industry. He currently works at AWS (Amazon) on Bedrock, which is a machine learning platform that allows developers to build Generative AI applications. He has previously worked at other major tech companies like Cisco and Qualcomm. He believes in creating impact using efficiency, automation, documentation and elegant engineering. He graduated with an MS in CS from the University of Cincinnati, and BS in CS from National Institute of Technology. He is looking forward to mentoring and interacting with students at the Hackathon.

Sr. Data Scientist

Vrishti Gulati

Vrishti is a seasoned data scientist; bringing in a decade of experience working with data. She has worked in the core feed team at LinkedIn, and across multiple startups. She is passionate about asking and answering questions with data, and tying them to business outcomes. Her work involves artificial intelligence, machine learning, statistics, experimentation and product analytics. Vrishti completed her BS in CS from National Institute of Technology. MS from UC Irvine. She loves guiding fresh minds entering the field , being a mentor and speaker, and is looking forward to meeting students at the Hackathon.

Hackathon Tracks

Choose your track!

General Hackathon

"Make the World a Better Place" with Data and ML based Apps. Harness the power of data to address local community problems faced by students by developing tools to optimize education, support local businesses, or boost sustainability. Your insights could lead to real-world impact.

Learning Tracks

We are offering three exciting learning tracks to enhance your skills and knowledge! Intro to Data/ML engineering to uncover insights from data and make informed decisions. GitHub to learn how to use it and learn collaborative coding & version control. Dive into the DevOps track to explore the practices that bridge development and operations. These tracks are designed to provide a well-rounded learning experience for everyone!