Learn the work behind Data, AI & Forward Deployed Engineering
Practical explanations, career decisions and reproducible workflows. Read the reasoning, inspect the evidence and follow the next skill into a real programme.
Telephonic HR screening questions for data roles, and how to answer
A telephonic HR screening for a data role is a 10–15 minute call from a recruiter who is checking fit on practical terms before any technical round: whether you match the basic requirements, your notice period, current…
Telecom ARPU and churn: choose the subscriber base before you divide
Telecom ARPU (average revenue per user) is a period's revenue divided by a subscriber count, and the count you choose decides the story. Dividing by the closing base, by the average of opening and closing, or only by…
Tech meetups in Delhi NCR: how to find them and talk to people
A tech meetup in Delhi NCR helps a data or AI job search only if you prepare and follow up: find events through event platforms, community groups and company or college event pages, pick ones with a clear technical…
Specify a target vs achievement dashboard before building it
A target vs achievement dashboard needs four agreed numbers per region before any chart is drawn: achievement to date as a percentage of the monthly target, the target that should have been reached by today on a…
Working Backwards: The CTC You Need for a Target In-Hand
To find the CTC that delivers a target monthly in-hand, solve for gross salary first, because tax depends on gross. Then add the employer costs and any variable pay that sit on top. For a hypothetical ₹1,20,000 a month…
Turn Tally "Dr" and "Cr" balances into signed numbers you can sum
To make Tally balances usable in formulas, convert each closing balance into one signed number: debit balances positive, credit balances negative. Strip the Indian thousands separators, read the Dr or Cr suffix, and…
Tally accountant to data analyst: start from your day book
If you work in Tally, you already maintain a relational dataset: every voucher has a date, a type, a party ledger and an amount, and bill-wise details link receipts to the invoices they settle. The move to data analyst…
Talking to parents or a spouse about a data career switch
If your family is uneasy about a career switch into data, you usually won't win them over by talking about how exciting the field is. What works is a written plan that answers their real worries: money, time, what…
Handle a data science take-home: time-box it and submit cleanly
Handle a data science take-home by agreeing the deadline and scope in writing, splitting your time into fixed blocks (understand, baseline, improve, write up), stopping improvement work when its block ends, and…
Take-home assignment review, the questions asked about your work
After a data analyst take-home assignment comes the review call, where one or two interviewers go through your submission and ask why you made each choice. The questions follow a predictable path: how you understood the…
Tailor a resume to a job description line by line: a worked example
Tailoring a resume to a job description means building a two-column map, the posting's requirements on the left and your matching evidence on the right, then rewriting bullets so the strongest matches appear first and…
Tableau interview questions on LODs, filters and extracts
Tableau interviews for analyst roles rarely ask where a button is. They ask why a number changed when a filter was added, how to compute something at a different level of detail from the view, and whether you would use…
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