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.
De-duplicate leads by normalising Indian mobile numbers first
Indian leads arrive with the same mobile number written many ways: "98765 43210", "+919876543210", "09876543210", "91-9876543210". Strip everything that is not a digit, remove a leading 91 country code from 12-digit…
Decline a job offer professionally: email drafts for each case
To decline a job offer professionally, reply quickly, thank the people involved, give a brief honest reason, and close without leaving a door you do not mean to use half-open. The email should be short: three or four…
Product metrics interview case when daily active users drop
In a "daily active users dropped" case, the interviewer wants to see you rule out a measurement problem first, then localise the drop to a segment, then find a cause that explains that segment, and finally say what you…
Data steward and data governance roles: glossaries and ownership
A data steward looks after a specific domain of an organisation's data, such as customer, product or finance data, keeping its definitions, quality rules and access agreed and documented. Data governance analysts and…
Data scientist to AI engineer: what to relearn and what to drop
A data scientist moving into AI engineering keeps the most valuable thing — the habit of measuring before believing — but has to relearn where effort goes. You will train far fewer models and integrate far more…
Data product manager role: treating a dataset as a product
A data product manager owns an internal data product, such as a customer data platform, a shared metrics layer, a feature store or a set of certified datasets, and manages it like any product: understanding its users…
Data internships: finding them, stipend questions, PPO conversion
To land a data internship that can turn into a job, apply where internships are really listed (company careers pages, internship portals, your college placement cell and referrals), ask before joining whether…
Data engineering interview questions on ETL, idempotency, partitions
Data engineering interview questions for entry-level and FDE-track roles centre on making pipelines safe to rerun: an idempotent load produces the same result whether it runs once or five times. Around that core, expect…
Data engineer role in India: pipelines, on-call and data contracts
A data engineer builds and operates the pipelines that bring data from applications, third-party tools and files into a warehouse or lake, transforms it into usable tables, and keeps it fresh, correct and affordable.…
Data career plan from second year: a semester-by-semester schedule
If you are in your second year and want a data role after graduation, you have about six semesters. Use semesters 3 and 4 for Python, SQL and statistics fundamentals, semester 5 for one serious project and your first…
PL-300, Google Data Analytics, AWS and Azure AI: which to take
Take a certification only when it tests the tools named in the jobs you are applying for. For Power BI analyst roles, Microsoft's PL-300 is the most directly relevant; the Google Data Analytics certificate suits…
Data analyst at a GCC vs a startup: same title, two different weeks
A data analyst at a global capability centre (GCC) usually works on a well-defined slice of a large company's reporting and analysis, with mature data platforms, formal review and stakeholders in other time zones. A…
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