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random42

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arpitbhayani.me 1mo ago

AI Workflows Need Topological Sort

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2pts0
www.theverge.com 6y ago

Uber will start audio-recording rides as a safety measure

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20pts7
news.ycombinator.com 6y ago

Ask HN: What are some of your recent successes?

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2pts1
news.ycombinator.com 7y ago

Ask HN: If not LeetCode, then what?

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17pts6
open.dgraph.io 10y ago

Dgraph – Release v0.4

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7pts0
news.ycombinator.com 10y ago

Ask HN: Python developer for 8 years. What should I pick up next?

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12pts11
news.ycombinator.com 13y ago

Ask HN: Can I have your feedback on the consulting website?

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1pts8
www.news.com.au 14y ago

Tata to sell $675 flat-pack house

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1pts0
news.ycombinator.com 15y ago

Ask HN: What is your security strategy?

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1pts0
appadvice.com 15y ago

Steve jobs talking about the cloud. (1997)

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1pts0
www.avc.com 15y ago

The SEC and Private Markets

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5pts0
searchengineland.com 15y ago

Bing Admits Using Customer Search Data

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2pts1
www.reddit.com 15y ago

Shadow Blister Effect

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1pts0
www.crummy.com 15y ago

Beautiful Soup 3.2.0 - Release to fix version number

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1pts0
en.wikipedia.org 15y ago

Misuse of statistics

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1pts0
news.ycombinator.com 15y ago

Ask HN: What happened to diaspora?

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3pts1
news.ycombinator.com 15y ago

Ask HN: How do I get into research?

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2pts2
news.ycombinator.com 15y ago

Ask HN: How did you learn the details of User Experience?

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10pts13
www.businessweek.com 16y ago

Iraq Opens Up to Foreign Oil Majors - BusinessWeek

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1pts0

Making high performance teams is part of their job description though, and there is research to indicate that teams with strong social bonds perform better.

SEEKING WORK - Remote Django/Python developer

(Major) Skills: Python, ML/NLP/Analytics, Hadoop, Cassandra, Postgres/MySQL, EC2, S3, Django, Bootstrap, jQuery

I specialize in, Backend/Python development — POCs, rapid prototypes, load/performance testing etc.

    Server side/DB performance optimizations & design to scale.

    Big Data consulting — Hadoop Ecosystem + Cassandra. Have evaluated Mongo, Couchbase, Riak, DynamoDB, EMR and redshift as well for client requirements. 

    Devops on Linux servers/EC2


    NLP/ML/Data Science Consulting — Sentiment Analysis, NER, Classification,Clustering,Statistical modelling
Find out more at Linkedin: http://www.linkedin.com/in/mohitranka

Github: http://www.github.com/mohitranka

Portfolio: http://mohitranka.com/work/

or

Email: mohitranka@gmail.com :)

I left my job in July, and took a bit of break to introspect, focus on my health, spend time taking care of my family members, did a few investments, read up a lot and figuring out what I want to do next.

I have just started to talk to people wrt to different jobs, although I am not sure I want to take up another job. will figure it out in due time.

That can't be right though.

Unsolicited advice, but please don't have this mindset towards system failure. More things go wrong than you anticipate.

Calibration is a meeting to discuss the gathered signals and evidences to arrive at a decision.

People are allowed and encouraged to change their individual decision after getting more insights and evidences gathered by other interviewers.

did your company do predictivity and bias analysis on it?

Recruitment, HR and leadership conducts it to tweak the process, but I am not privy to those studies.

You seem to have made some (incorrect) assumptions based on very little text. Let me explain the process in somewhat more detail.

In my last company ($100B, publicly traded, extremely data driven), we interview candidates in a group of 2 (or more, but rarely) on clearly defined criteria to look for signals - in either direction.

During interview each of the interviewer looks for evidence to gather the signal - stronger the better and the purpose of the interview process is for all the interviewers to gather signals (preferably all criteria, preferably strong in either direction, but ofcourse bound by the realities of limited availability of time).

Once the interview process is over each interviewer jots down the signal strength and the related evidence on the scorecard independently and suggests the result of interview.

Later during a calibration, the signals and the evidences are presented to the interviewing peer group (recruiter, hiring managers, interviewers from other rounds), and pretty much disallows for any unconscious bias such as "I don't think Alice would be a good team lead (because she is a woman, and woman are not good managers), or "We should not hire Amit (because he is an Indian, and Indians write poor code").

Again the examples are too in-your-face, but unconscious bias is unconscious, and in the absence of having to defend your perspective to external parties with the support of evidences, which does not happen if there is only a single interviewer.

Think of it as the rubber duck for interview and biases, to keep your own unconscious bias as interviewer in check.