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.
Build a safe research-to-brief workflow
A research workflow should make evidence visible at claim level. Producing fluent prose before verifying sources makes unsupported statements harder to notice.
Build a sales dashboard around three business decisions
A useful sales dashboard helps a named reader decide what to inspect or do next. Begin with those decisions, then choose measures and visuals. A page containing many unrelated charts can make every number visible while l
Build a sales pipeline report with stage-history data
Today's opportunity stage cannot reliably tell you which stage the opportunity occupied last month. A historical pipeline report needs stage history or a trustworthy snapshot. Select the latest known stage before the rep
Build a scikit-learn pipeline that prevents preprocessing leakage
A pipeline prevents a common form of leakage when you fit the entire pipeline only on the training portion of each split. It keeps learned preprocessing and the estimator together, so validation data receive the fitted t
Build a second-tenant onboarding plan from a first deployment
The second tenant reveals whether a delivery is a product or a one-off. Anything established through undocumented manual edits, copied credentials or hard-coded identifiers will reappear as risk during onboarding.
Build a small evaluation set for an analyst assistant
Build an analyst-assistant evaluation set around the mistakes that would change a business decision: the wrong population, duplicated amounts, incorrect units, missing evidence and unsupported conclusions. A small set wi
Build a small retrieval service with cited results
Start with an owned corpus and a simple lexical baseline. A citation must resolve to the version and passage that supports the answer.
Build a spreadsheet control-total checklist
A control total is an expected value used to test whether a data transformation or report preserved its intended population. Useful controls include row counts, distinct keys, monetary sums, date coverage and exception c
Build a SQL data dictionary from a reporting question
A useful data dictionary explains how fields should be interpreted, not only how they are stored. SQL types can tell you that an amount is an integer or a timestamp is text. They cannot tell you whether the amount includ
Build a SQL interview practice log from your own errors
Build a SQL practice log around the reason a query failed, the smallest example that exposes the mistake and the reasoning that fixes it. Recording only the correct answer makes it easy to repeat the same conceptual erro
Build a statistical analysis plan before opening the results
Write the analysis plan before inspecting comparative outcomes. Specify the question, population, metric, uncertainty method and stopping rule so that favorable results do not quietly determine those choices afterward.
Build a statistics revision routine from practical mistakes
Rereading a statistics chapter can feel fluent while leaving the original mistake unchanged. A better routine begins with an error you made, reconstructs why it was wrong and schedules fresh retrieval in a practical cont
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