35 episodes

The Exploiting Podcast is a weekly show with Conversations and Unicasts, Hosted by Teja Kummarikuntla. We resonate by diving deep into the exploiting actions by the incredible Technical, and Business leaders. With Unicasts we amplify the wisdom in the world that could help us to transform. Sounds exciting? Come exploit with us at: exploit.chat

Exploiting with Teja Kummarikuntla Teja Kummarikuntla

    • Technology

The Exploiting Podcast is a weekly show with Conversations and Unicasts, Hosted by Teja Kummarikuntla. We resonate by diving deep into the exploiting actions by the incredible Technical, and Business leaders. With Unicasts we amplify the wisdom in the world that could help us to transform. Sounds exciting? Come exploit with us at: exploit.chat

    Sudharsan Ravichandiran: On Authoring Best-Selling Books in Data Science

    Sudharsan Ravichandiran: On Authoring Best-Selling Books in Data Science

    On this first episode, I got an extreme chance to sit with Sudharsan Ravichandiran, sharing his personal and professional exploits in his career as a Data Scientist and a Bestselling Author. In this podcast, Sudharsan exposed a little about his Book  “Hands-on Deep Learning algorithms with Python“ with various questions on kickstarting a career in Data Science.  


    Hands-On Deep Learning Algorithms with Python: Master deep learning algorithms with extensive math by implementing them using TensorFlow Paperback:  https://www.amazon.in/dp/1789344158/ref=cm_sw_r_cp_api_i_Bvk3Eb8941EEK  



    Linkedin: https://www.linkedin.com/in/sudharsan1396/  


    Music Credits: Olexandr Ignatov [https://music.apple.com/ua/album/piano-scenes/1333396519]

    • 15 min
    Heath Slawner: On How To Find Your WHY?

    Heath Slawner: On How To Find Your WHY?

    Heath works alongside some of the world's leading thinkers and researchers (including Simon Sinek's team) to uncover how leaders can bring teams together to achieve extraordinary results. His insights on business communication and leadership with organizations impacted across the globe, companies including Boeing, DuPont, and Microsoft. Etc.

    Teja and Heath spoke about his journey with Simon Sinek and various factors on improving leadership in organizations.


    What do Leaders have in common
    How to resolve conflicts in a team
    How to keep the team energized and encouraged
    Common mistakes Leaders do
    How could someone find their purpose and WHY
    How do you measure the performance of a team

    and many more, Heath's candid flow made this conversation much more impactful

    Mentions from the conversation: 

    The Advantage by Patrick Lencioni (The Table Group)

    Radical Candor by Kim Scott

    Companies making Performance Management Software to promote organizational health


    15Five
    OfficeVibe by GSoft
    Peakon
    Culture Amp

    And last but not least, Live Classes on InspireU by Simon Sinek Inc.

    • 1 hr 11 min
    Boris Paskhaver: On Business Economics to Software Engineering

    Boris Paskhaver: On Business Economics to Software Engineering

    Ep.33:  Boris’s transformational and rigorous determination towards what he wants in life and what he wants to create in others' lives are what made this episode a cordial conversation. Uncovering his life experiences across multiple career transitions and the journey of becoming the best-selling instructor is an adventurous adjective to his work with perseverance.

    Guest:

    LinkedIn: https://www.linkedin.com/in/boris-paskhaver/

    Website: https://paskhaver.github.io/

    Twitter: https://twitter.com/borispaskhaver

    Sponsors:

    Sundog Education: https://sundog-education.com/

    • 1 hr 15 min
    Jalem Raj Rohit: On How to Clutch Data Science From Academia to Industry

    Jalem Raj Rohit: On How to Clutch Data Science From Academia to Industry

    Clutching Data Science in a potential approach can be tricky. Taking forward right from academia to industry is where the bend of the learning curve comes into the picture, putting all together about learning, executing, and delivering. Raj and Teja spoke all about potential career paths for building or for shifting to one another. Sharing Raj's experience as a senior Data Scientist and the world's #4 Diamond moderator of Stackoverflow made his conversation much impactful.

    Guest:


    LinkedIn: https://in.linkedin.com/in/jalemrajrohit

    Sponsors:


    Sundog Education: https://sundog-education.com

    • 1 hr
    Paul Azunre: On Balancing Passion and Profession | Music and Machine Learning

    Paul Azunre: On Balancing Passion and Profession | Music and Machine Learning

    There can not be a day lived to the fullest, if you couldn't work on things you love and what makes you the most excited, it begins to become much harder when we move on with professional work not realizing we might be losing up something that we also love doing. And balancing both is where the challenge comes in. Paul Azunre, Founder of Ghana NLP and a Producer shared his journey behind the passion and his deep and clear intentions made the conversation much impactful.

    Guest:


    Linkedin: https://www.linkedin.com/in/paulazunre
    Twitter: https://twitter.com/pazunre
    Book: https://www.manning.com/books/transfer-learning-for-natural-language-processing

    Sponsor:


    Talk Python Training: https://talkpython.fm/exploiting

    • 53 min
    Nidhi Thakkar: On How to Build Career In Data Science From Academia to Industry

    Nidhi Thakkar: On How to Build Career In Data Science From Academia to Industry

    Ep.30: Introducing the first-ever women guest in the podcast, Nidhi Thakkar, sharing all her experiences from being a student to becoming a Data Science Consultant, exploring across various domains of Artificial intelligence, Nidhi and Teja spoke all about the challenges on starting, shifting or building a career in data science.

    Guest:


    LinkedIn: https://www.linkedin.com/in/nidhithakkar55/
    Twitter: https://twitter.com/nidhi_t_
    Instagram: https://www.instagram.com/nidhi_t_

    Sponsors:


    TalkPython Training: https://talkpython.fm/exploiting

    • 1 hr

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