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| <h1 class="title">Harrison Mamin</h1> | |
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| <div>1. How did you hear about SM? Why Mentorship with SM?<br>- Spoke to Russell in 2022, Now have the bandwidth to take up mentorship. Had a difficult time breaking into DS and now want to help others do the same. Want to give back to the DS community. <br><br>2. Take me through your DS Career. <br>- Started working as a BA at a Green-tech startup. Got introduced to ML there and started self-study. Pursued a Master's in DS after. <br>-Worked at an ed-tech startup after that. Built ML Model for safe web browsing for K-12 kids, also developed mental health tools for students. <br>- Currently working at CashApp under Block. Building ML-powered tools. Worked with NLP for Chatbots with the Support ML team. Also, responsible for cross-functional model hosting & building. <br><br>3. Previous Mentorship Experience. <br>- Helped a junior from academia background with technical & programming skills and knowledge during a previous role. The person ended up becoming a Lead Data Scientist in their next job. <br><br>4. Common Mistakes beginners make? What do they need most help with? How can you help with this?<br>- Most beginners focus on algorithms that are worth learning but have lesser business applications. Focus should be on framing business problems around ML Models. <br>Can share perspective & personal experience of what actual Job v/s School v/d personal projects are and how they are different, and how to sell yourself in interviews. <br><br>5. Questions about SM?<br>- What do mentees need the most help with and is this same?<br>- Do mentees hop mentor-to-mentor to use the free 2 week trial period?<br>- Do mentor-mentee need to connect apart from just video calls, suppose on texts or chats?<br>- What is the mentee placement rate?<br>- Next steps in the process?</div> | |
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