Info Session on Mentor-Led Data Science Internship Program
Event PAST

Info Session on Mentor-Led Data Science Internship Program

31 January Online

About this event

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/8617335660229/WN_XiUtT4u4RkSi7D_PBRpMFA

Attention all aspiring data scientists! Magnimind Academy has one-of-its-kind mentorship and internship program for students lacking a portfolio but having the fundamentals. This fifteen-week boot camp is designed to provide you with:

-Real industry projects
-Expert data scientists
-Project-based intensive training
-Mock interviews -Resume polish
-Post-interview feedback

We will be hosting an information session to discuss the program in more detail. Whether you're a recent graduate or looking to transition into the field, this program is perfect for those who are serious about a career in data science.

Join us to learn more about this exciting program and get your questions answered. RSVP now to reserve your spot!

Agenda:
(PDT) 11:00 am - 11:05 am Arrival and socializing and Opening
(PDT) 11:05 am - 12:00 pm "Info Session on Mentor-Led Data Science Internship Program"
(PDT) 12:00 pm - 12:10 pm Q&A

About Dr. Murat Baday:

Dr. Baday is the co-founder of Magnimind Academy. He is passionate about everything related to data science, education, and entrepreneurship. He received a biophysics PhD from the University of Illinois and continued his studies at Stanford Univ as a Postdoc. He has published several papers and patents and he is the co-founder of several biotechs and AI startups.

About Dr. Yasin Ceran:

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data-related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners.

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/8617335660229/WN_XiUtT4u4RkSi7D_PBRpMFA

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.