Tal Mizrachi
Data scientist
Tel Aviv, Israel
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Tal Mizrachi, AKA Analysis Paralysis online, is a data scientist and educator trying to make data science, analytical methods, and programming accessible and fun to learn about.
Tal teaches with laughter, Joy and dad jokes and easy acceptance of mistakes, Tal is married to Adi (MD, it rhymes), 2 daughters (5, 0.5), a black dog.
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Ummm, actually
From inner and left joins to a model classifying wrong, From ETL to DWH hell, data proffesionals are excited about a lot of things, but there's one things that stands above all else - and that's correcting people - join our game show that'll prove that you ARE the true lord of rows, and can classify correctly between the true elements and the false elements of a statment - We will have more description as we progress
LLMs, Dwarves, and the Future of Analysis: A Field Test
Are we, as data analysts, on borrowed time?
Can years of domain expertise and nuance be replaced by a clever prompt?
Instead of debating, I ran a real experiment: I gave an actual exam (once used at eBay) to two leading LLMs—Gemini 2.5 and Manus AI—with no guidance other than what a candidate would get.
The results were enlightening, odd (and even*) deeply revealing.
This talk walks through the test, the traps, and how LLMs fumbled or succeeded. It’s not a Luddite rant—it’s a field report on what AI can (and can’t) do when context, reasoning, and data intuition really matter.
* got it? odd? even? %2==0? Oh, nevermind
The Junior problem - From the other side of the moon
We all thought to ourselves being jobless juniors "When I'll be a team lead - I will do things different! I will hire more juniors" - and then, after publishing the first open position - you find out that you are overwhelmed and swamped by 500 CVs in the first 30 minutes.
If we can all agree that hiring juniors is important, how could we solve that issue?
In my talk I will share challenges from both ends of the fence and explain how, as team leads - we can be what we set out to be
Dashboards aren't the solution - they're the problem
One of the most common requests from analysts is the building and maintaining of dashboards, but are we really getting any benefit from them? were we so excited to democratize data to a stakeholder that we forgot that the analyzing part is our job?
and what is the solution?
All this and a bit more, in this talk
Data.TLV Summit Sessionize Event
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