Interviewing is a very subjective process. Each role, candidate, and interviewer is different, and therefore there can’t be a strict set of “rules” that specify how it is best done. This article is purely a set of learnings gained from interviewing many candidates throughout my career to date, including over 100 Data Science & Analytics…
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There are several things I’d like to accomplish next year. Below, I share my 20 SMART goals for 2020: 365 days of Python & R code – follow this hashtag #dailycoding – posting learning progress on social media Help 20 companies with their social media strategy (focused on companies innovating in the data science and artificial intelligence…
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Brief recap of the Open Data Science Conference – San Francisco, October 2019 On AI ROI: the questions you need to be asking Kerstin Frailey Metis Success is unpredictable in AI – feasibility is often unknown before a project has begun. Projects are esoteric – require highly specialized training. Application is new – methods to…
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Explaining some concept to a layman (Image Source) Itwas about a month ago when I paid a short visit to my hometown (Kolkata, India) and I was full of mixed feelings — excited because I was going to meet my family members after a long time, doleful as I was travelling alone, leaving my husband & my daughter here…
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Find a (data related) question you truly care of. Formulate a reckless commitment based on this question and make sure to hold yourself accountable – some audience helps. Network Find (a) mentor(s) who supports you in structuring your learning process (based on 1). Talk to people who can help you getting some additional insight regarding…
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Having come a long way from where I had started my Data Science journey, I realise there is not one MOOC/book, which would enlighten an individual with everything one needs to know about Data Science. But there are few intangible details, condensed in four points, which would be essential to just anybody. Here it goes:…
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“Focus on leveling up your skills. And you will go far.” The inspiring words said by none other than Matt Dancho have resonated with me ever since. Getting to know Matt via LinkedIn and being his student in his two wonderful data science courses are part of what makes my learning journey to become a…
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A succinct introduction to Data Science career. Inside this modern technophile name DATA SCIENCE lies the archaic desire to organise gigantic amount of data created by us and finding better methodologies and engineering tools to analyse and make use of the data produced to drive decisions in the proper course. All the data crunching methods…
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No matter of which business area to set up a team, there is a wide range of considerations. Typically, we hire people for their qualifications, and in general we are forced to fire them because of their personality. Within HR and project management, a lot of literature and recommendations exist in relation to how the…
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When it comes to hiring Data-experts, many businesses are dumb… Why the heck would you need a Mathematician with a masters in Statistics and a Ph.D. in Algebraic Topology if all you want is someone that prepares Excel reports once in a while? It is not all their fault, though; after all, they simply want…
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