Merge branch 'main' into podcast-improvements-seo

Author: kavaivaleri

_people/adityaseshaditya.md

@@ -0,0 +1,11 @@
+---
+short: adityaseshaditya
+title: "Aditya Seshaditya"
+picture: "images/authors/adityaseshaditya.jpg"
+github: adytiaa/physAI_CFDsim
+
+linkedin: a-seshaditya-7180822a5
+web: https://quasi.digital/
+---
+
+Aditya Seshaditya is a Data Scientist with background in Quantum Computing, Digital Twins and AI.

_podcast/s08e06-recruiting-data-engineers.md

@@ -145,15 +145,22 @@ transcript:
     ago and invited you to this podcast is because we had a different podcast episode
     that was about hiring data professionals – where we talked to Alicia, who was
     a guest here – but we mostly talked about data scientists. Then some people reached
-    out to me saying, 'Hey, that was a cool episode, but we want to hear more about
-    data engineers.' So here we go. We're talking about hiring data engineers, but I also wanted to ask you
-    – you are recruiting for a wide range of positions – ML engineers, data scientists,
+    out to me saying, "Hey, that was a cool episode, but we want to hear more about
+    data engineers." So here we go.'
+  sec: 419
+  time: '6:59'
+  who: Alexey
+- line: 'We''re talking about hiring data engineers, but I also wanted to ask you
+    – you are recruiting for a wide range of positions: ML engineers, data scientists,
+- line: 'We''re talking about hiring data engineers, but I also wanted to ask you
+    – you are recruiting for a wide range of positions: ML engineers, data scientists,
     data analysts, data engineers – in your opinion, what is the main difference between
     hiring data scientists and data engineers?
   sec: 419
   time: '6:59'
   who: Alexey
-- header: 'Tech vs Business Balance and Training Gaps'
+- header: Tech vs Business Balance and Training Gaps
+- header: Tech vs Business Balance and Training Gaps
 - line: Yeah. I would say that there's two different things. You have kind of a ratio
     between tech and business, in terms of skills. After all, it really depends. In
     data science, you have data analysts who call themselves data scientists and vice

images/authors/adityaseshaditya.jpg

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 90634846aca76cf1c9bc6882571ed3149c621cba,moeinforoughi
+656e4e3ec3f6ca8b64ff06e8f91f9de9a7d8ca60,adityaseshaditya