TechKnowledgical

Sarin Devraj, Avi Ahuja, Anish Sharma

Breaking down the tech industry — from various technologies & their impacts like machine learning and blockchain to different roles like product management and data science, so you can get your dream job in tech. Feel free to send us any feedback, give suggestions for new topics or guests for episodes, or ask questions at techknowledgicalpod@gmail.com.

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    Machine Learning Engineer: A Day in the Life with Tomasz Jurczyk

    In Episode 2 of Season 2, we break down one of the most requested episodes: a day in the life of a machine learning engineer.   Hear from Tomasz Jurczyk, Machine Learning Engineer at Moveworks, about how he broke into the field and the types of problems he solves on a daily basis. From creating algorithms to understand human language no matter how complex, to creating a knowledge graph on enterprise support, Tomasz knows it all. Follow us on social!  Twitter: https://twitter.com/techknowledgpod​​​/ ​LinkedIn: https://www.linkedin.com/company/techknowledgical/ Instagram: https://www.instagram.com/tech.knowledgical/ Website: https://anchor.fm/techknowledgical

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    Becoming a Leader in Data Science

    In the first episode back for Season 2, we talk to Connie Yang, Lead Data Scientist at Pallet.   Connie transitioned form an Applied Math & Computer Science degree at Carnegie Mellon into an entry-level Data Scientist role at Microsoft. During her time at Microsoft, she cofounded a Women in Data Science Community and grew as a leader and people manager.  Finally and most currently, she made the switch to the startup world as Lead Data Scientist at Pallet.  Learn how Connie grew in her role and the things she did to set herself up to become a leader in her field!   Use YouTube? Subscribe: https://www.youtube.com/channel/UCpBrr_8wDDf93CvEQ3IRkNQ Follow us on social!  Twitter: https://twitter.com/techknowledgpod​​​/ ​LinkedIn: https://www.linkedin.com/company/techknowledgical Instagram: https://www.instagram.com/tech.knowledgical Website: https://anchor.fm/techknowledgical​

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    Sales, Customer Success, and Diversity, Equity, & Inclusion with Alex Carmen

    In this episode we talk to Alex Carmen about her experience and knowledge working in presales at IBM and transition to post sales working in customer success at Mulesoft. We discuss what each role represents at the two companies, day to day responsibilities of someone in sales, the differences between pre and post sales, and finally how Alex first got her start into the world of tech after studying chemistry.   00:00 Intro  01:34 Finding interest in tech with a chemistry + economics degree  08:35 IBM sales interview process & skills needed  10:55 Impact of your role & environment on your personality  15:25 Summit Program & sales training at IBM  18:18 Roles & responsibilities as an Account Executive  21:11 Learning about new industries  24:11 Diving deep  on sales terms & processes  28:47 Jumping from IBM to MuleSoft  32:08 Account Executive vs. Customer Success Manager  35:57 Diversity, Equity, Inclusion work throughout Alex’s life  41:39 Closing advice on getting into sales or customer success

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    Diving into Creators & Creator Marketing with Shardul Golwalkar

    Shardul is a writer, marketer and generally curious cool cat. He currently works as the Creator Marketing Lead at Public where he's in charge of all things creators on the platform. Public is on a mission to make the stock market more inclusive, educational and fun. You can join public for free and get your free slice of stock at http://share.public.com/shardul.  Shardul also writes a great newsletter on the creator economy news and does deep dives on creators at http://creatorsdigest.substack.com.   In this episode, we dive into:  0:00 Intro  4:02 Switching from Software Engineering to Product Marketing  7:32 Experience in PMM at Salesforce  12:26 What is Creator Marketing & How Shardul Moved Over  19:24 Most Interesting Creators Out There  26:23 Becoming a Creator Himself & Going to Public  34:13 Creator Marketing at Public  42:25 Advice for Creators  46:52 What’s Next for Shardul

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    User Research at Google, IBM, and Startups with Gabi Campagna Lanning

    In this episode we chat with Gabi Campagna Lanning about her vast experience working in user research and design at Big Tech (Google, IBM) and a few startups along the way. She takes us through her education (undergrad in Architecture and MS in Fine Arts), how she first got into user research, and ultimately her experience and thought process for thinking about designing for some of the world’s most complex enterprise Machine Learning products.    00:00  Intro 02:11  Interviewing for UX Research Roles  04:35 Deciding to get a Master’s Degree  08:57 How to build your portfolio  14:45 Why did you choose IBM for design?  17:22 Where do UX Researchers fit into the product cycle?  22:30 How do you truly empathize with users?  27:31 UX Research career ladder  31:00 Differences between IBM and startups  33:50 UX Research at Google  36:00 Closing thoughts

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    Consulting at Accenture to Data Science at Peloton

    Andrew Dabydeen studied Operations Research & Engineering for his Bachelor's at Cornell University — with a heavy curriculum towards statistics and computer science. Post-undergrad, he decided to get consulting experience at Accenture. After gaining a breadth of experience across multiple industries and seeing various roles in the data space, he pursued his Masters in Data Science at Brown. Since Brown, Andrew has worked at Shutterstock and is now currently a Data Scientist at Peloton. In this episode, you'll hear Andrew go deep on: 0:00 Intro 1:10 Thinking About Careers at Cornell 2:50 Time at Accenture 6:12 Deciding What to Do Next 8:57 Choosing MS in Data Science at Brown 12:14 What’s the MS in Data Science at Brown like? 15:15 Recruiting into Data Science 18:37 Interviewing at Companies in Different Stages 21:29 Biggest Piece of Advice in Interview Process 24:13 Day-to-day as a Data Scientist 26:30 How do Data Scientists Prioritize Work? 28:23 Data Science Stakeholders 30:17 Career Progression 33:56 What is Machine Learning Engineering? 36:10 Is a PhD the only way to get into machine learning engineering? 38:39 Actionable Advice for Learning Data Science 41:35 Closing Thoughts from Andrew

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    Product Management from Big Tech to Startups

    Jason Ma graduated from MIT with a degree in Mechanical Engineering and immediately went to Oracle to pursue product management after graduation. After a few years in, he got the entrepreneurial itch and jumped to Scale, a hypergrowth startup that's helping accelerate AI development.   In episode 11, you'll hear:  0:00 Intro  2:20 Preparing for tech from undergrad  5:25 Getting into product  10:28 Why Oracle?  14:15 Day to day as a PM at Oracle  19:45 Transitioning to a startup  23:30 Scale overview, stage, interview process, and role  30:52 Scale as a key enabler for the AI industry  34:08 After undergrad: startups or big company?  39:51 Startup compensation & equity breakdown  45:33 Did a larger company better prepare you for a smaller one?  51:53 Closing thoughts & advice

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    From Entry-Level Software Engineering to Becoming a Young Founder

    Kyle Woumn grew up in Atlanta, went to Georgia Tech, and studied Computer Science. He was always driven to get into tech, starting with him interning at GE in college. Then after graduation, he went to work at Twilio out in San Francisco, a fast-growing startup that had recently IPO'd.   After a few years of learning the ropes, he decided to get out and create companies solving problems he really cared about. Most recently, he's the Head of Technology at Overflow, a startup that makes it easy for donors to fund nonprofits by giving them company stock. In this podcast, you'll hear about:   - Approaching Big Tech interviews vs. startup interviews  - Time-split as an entry-level engineer  - Leaving Twilio to become a Founder  - Overflow: the startup Kyle is currently a Founder of  - Day-to-day as the Head of Technology ("CTO")  - Being an individual contributor vs. leading a team  - What startups look for in software engineers

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مشاهدة الكل (١٧)

حول

Breaking down the tech industry — from various technologies & their impacts like machine learning and blockchain to different roles like product management and data science, so you can get your dream job in tech. Feel free to send us any feedback, give suggestions for new topics or guests for episodes, or ask questions at techknowledgicalpod@gmail.com.

المعلومات

  • صناع العمل
    Sarin Devraj, Avi Ahuja, Anish Sharma
  • سنوات النشاط
    ٢٠٢١ - ٢٠٢٢
  • الحلقات
    ١٧
  • التقييم
    ملائم
  • حقوق النشر
    © Sarin Devraj, Avi Ahuja, Anish Sharma
  • موقع البرنامج على الويب
    TechKnowledgical