Cool! Masha Allah! So awesome! A magic in your voice!

“Being a great data scientist” and “being great at a data science interview” are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role.

This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Nick’s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21]
• Why Nick believes in being a work generalist [12:37]
• How DataLemur supports emerging data scientists for free [15:43]
• Why Nick started DataLemur off the back of his book [21:31]
• Portfolio essentials for any data scientist [22:36]
• The three most common things data scientists get wrong at the interview [24:33]
• How data science introverts can shift their mindset about self-promotion [37:58]
• Great responses to end your data science interview on the right foot [42:21]

Additional materials: www.superdatascience.com/615

The Super Data Science Podcast: Machine Learning | AI | Success

615: How to Ace Your Data Science Interview

Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.

This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What motivated Shashank to start his YouTube channel [04:31]
• The must-have technical skills for every data scientist [16:59]
• The soft skills needed for data science [20:52]
• The differences between data analyst, data scientist and data engineer [24:26]
• How data are currently being applied in the sports industry [38:38]
• The “needs” divide between digital native and traditional companies [45:34]

Additional materials: www.superdatascience.com/623

623: Data Analyst, Data Scientist, and Data Engineer Career Paths

OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year. 

Additional materials: www.superdatascience.com/638

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

638: ChatGPT Holiday Greeting

The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.

This episode is brought to you by Kolena (https://kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• A recap of 2022 predictions [5:22]
• Our data science trend predictions for 2023: 
  - Data as a product [23:36]
  - Multimodal A.I. models [32:26]
  - The data mesh [42:49]
  - Privacy & AI Trust [50:54]
  - Environmental Sustainability [54:37]
• Sadie's goals for 2023 [1:16:04]

Additional materials: www.superdatascience.com/641

641: Data Science Trends for 2023

Taylor Swift - Back To December (COVER)

O'Reilly's Ben Lorica chats with Gary Kazantsev, who runs the R&D Machine Learning group at Bloomberg LP, about how big data and data science are making a difference in finance.

Data Science Makes an Impact on Wall Street

Following the release of his debut EP "Pheromone", Austin Ward returns with a beautiful rendition of COIN's "Malibu 1992", accompanied by collaborator/singer Yaz. The track was recorded at the legendary EastWest Studios, with Austin on guitar, and the Austin Ward band accompanying on bass and piano.

Malibu 1992

Malibu 1992 (ft. Yaz)

She Chose Me

lyrics:

you got a slurpee for free
i caught you lookin at me
in the 7-11
under fluorescent lights

we walked in comfy silence
footsteps down familiar sidewalks
knowing that we were
here in our dreams last night

all my ghosts are with me
i know you feel them too
riding shotgun next to your free slurpee
they know all of my habits
but they don’t know about you
i hope that’s true

we made sangria and failed
i spilled mac n cheese on my pants
and thought about kissing you
underneath kitchen lights

all my ghosts are with me
i know you feel them too
oh they just stand there while we’re
taking shots of brandy
they know all of my habits
but they don’t know about you
i hope that’s true

i can see it now
the wedding of the year
i can see it now
he stands up there and wipes his tears
i can see it now
when all my ghosts disappear
i can see it crystal clear

you got a slurpee for free
i caught u lookin at me
in the 7-11
under fluorescent lights

and all my ghosts were with me
i know you felt them too
watching as i started to get dizzy
cause i hate all of my habits
but i happen to love you
i know that’s true

all my ghosts (voice memo)

Instagram - https://www.instagram.com/nahiankazi28/

Taylor Swift - Back To December (COVER)

NAHIAN KAZI

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