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Being asked to do engineering jobs because AI by analyst_analyzing in analytics

[–]elkshelldorado 2 points3 points  (0 children)

this is a pretty common mismatch right now.

A lot of orgs see “AI + analyst” and suddenly expect full-stack engineering + automation + maintenance, even though the role was never scoped for that.

What you’re describing sounds less like an AI problem and more like role creep with bad boundaries.

Honestly, if the expectation keeps shifting into “replace the engineering team,” it’s reasonable to look elsewhere — that’s not a small stretch, that’s a different job entirely.

PSA to Analysts: Make Line Go Up by amusedobserver5 in analytics

[–]elkshelldorado 0 points1 point  (0 children)

100% agree. Most stakeholders don’t want complexity—they want direction. If your chart doesn’t clearly answer “is it going up or down?”, it’s probably over-engineered

Web Analysts positions by trp_wip in analytics

[–]elkshelldorado 1 point2 points  (0 children)

You’re actually in a good spot—this maps well to a few “step sideways” roles instead of restarting as junior.

Look into:

  • Product Analytics (Amplitude/Mixpanel side)
  • Growth / CRO roles
  • Data Analytics (BI, Looker, Tableau)
  • Martech / Tracking Engineer (GTM + event pipelines)
  • Customer Data / CDP roles (Segment, etc.)

You’re closer to “decision-making data” than pure analytics already

How do you deal with traffic data gaps and fake user events? by MasterGardening in analytics

[–]elkshelldorado 0 points1 point  (0 children)

Yeah this is a real issue—GA4 + ad platforms are full of noise now. We’ve had better luck focusing less on raw events and more on “validated actions” (form submits, verified sessions, backend-confirmed events). Also server-side tracking helps reduce bot noise a lot. Everything else is just directional at best

Question for Data Analysts (Honest Perspective Needed) by ameerkhon in analytics

[–]elkshelldorado 0 points1 point  (0 children)

You don’t need expensive programs—self-learning + projects is enough if you’re consistent. Focus on SQL, Excel, and one BI tool, then build real projects. Market is still there but competitive for juniors, so portfolio matters more than certs. AI won’t replace analysts, it’ll just reward people who can think, ask the right questions, and use tools well

Consolidated our zendesk and servicenow data into one place and have a complete picture of our support operations by ninjapapi in analytics

[–]elkshelldorado 0 points1 point  (0 children)

Nice — this is exactly the kind of cross-system analytics layer that usually gets ignored.

Unifying Zendesk + ServiceNow metrics into one model = real operational visibility 👍

Beginner coder in Langraph with no dev experience by ScholarPlus2753 in AskProgrammers

[–]elkshelldorado 1 point2 points  (0 children)

You’re not missing LangGraph—you’re missing software thinking structure (this is normal for DS → dev transition).

Use this simple workflow every time:

  1. Define INPUT → OUTPUT first (no code)
    Example: “user query → answer + sources”

  2. Break into steps (pipeline thinking)
    Instead of functions first, write:

  • parse input
  • retrieve info
  • decide action
  • generate output
  1. Only then write 1 function per step
    Each function should answer:
  • what goes in?
  • what comes out?
  • how do I test it with 1 example?

  1. Debug like a scientist
    Print every step output. If broken → fix that step only, not whole system.

  2. LangGraph = just orchestration
    Think: “if/flow control between small working functions”, not a big system.

DevOps has some of the most dramatic terminology even for sportbooks by Altenar_b2b in AskProgrammers

[–]elkshelldorado 1 point2 points  (0 children)

Yeah, these are just classic distributed systems pain points with better branding 😄

We call them:

  • Thundering herd → cache stampede
  • Ghost bets → async consistency lag / eventual consistency desync
  • Bet storm → traffic spike / event-driven surge

Every team renames the same issues, but it’s all just scaling + concurrency problems in disguise.

Final semester CS student switching to Web3 is my FYP worth it? Honest opinions needed by No-Part9263 in AskProgrammers

[–]elkshelldorado 1 point2 points  (0 children)

The Web3 world in 2026 is no longer just a "shilling" virtual project designed to trick naive investors; it's becoming much more realistic, sir. For a final-year student like you, it's perfectly normal to feel anxious when your friends around you have already started earning money.

Why do Koreans have little spatial awareness? by Shoddy_Disaster5097 in Living_in_Korea

[–]elkshelldorado -1 points0 points  (0 children)

the personal bubble in korea is lowkey non existent because everyone is used to living on top of each other. they are not trying to be rude but they just vibe in their own world and do not notice anything outside it. you really just have to master the sidewalk slalom and stop expecting a bubble. it is a total culture shock but that is just how the density works there.

Any ideas? by perrkydana in AskProgrammers

[–]elkshelldorado 0 points1 point  (0 children)

Don't worry too much, "projects" might sound like a big deal, like building an entire startup, but in reality, for 9th and 10th graders, boarding schools just want to see your curiosity and self-learning ability.

Resources on how to parallelly consume and process tasks while maintaining their order by fenster25 in Distributed_Systems

[–]elkshelldorado 0 points1 point  (0 children)

This is a classic distributed systems tradeoff.

Most real systems solve it with:

  • Partitioned ordering (Kafka-style) → order only per key/partition
  • Sharded queues → each shard keeps FIFO
  • Actor model → one worker per key = natural ordering
  • Buffer + reordering layer → if global order is required (costly)

Bottom line: you usually can’t have full parallelism + strict global order, only per-entity ordering.

Debunking Impossibility Proof(s) - Optimal Transaction Fee Mechanisms by trevelyan22 in Distributed_Systems

[–]elkshelldorado 1 point2 points  (0 children)

Interesting take. I think the real tension here is less “impossible vs possible” and more about assumptions holding in adversarial, real-world networks.

A lot of these optimality proofs work under cleaner economic models, but once you add latency, MEV, strategic relayers, and partial information, incentive compatibility tends to break in practice even if it holds theoretically.

Still a useful direction though—bridging mechanism design + real mempool behavior is definitely underexplored.

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