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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