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.
Track document freshness in a RAG pipeline
A document can remain searchable after its rule is obsolete. Freshness is a source contract: which date matters, how old evidence may be, who reviews it and what the assistant does after the limit.
Train, validation and test sets: assign each a separate job
Training data fit the model and its learned preprocessing. Validation data support declared choices such as hyperparameters. Test data assess the procedure after those choices are fixed. Naming three folders is not enoug
Transfer learning: freeze, fine-tune and compare baselines
Transfer learning initializes a target model from parameters learned on a source task. Freezing retains the source feature extractor and trains a new head. Fine-tuning updates some or all transferred weights, usually wit
Translate a vague request into an answerable analytical question
Translate a vague request by identifying the decision, defining the measure and population, specifying the comparison and checking whether the available data can answer it. A precise query is useful only after the busine
Tune multiclass thresholds without using the test set
Argmax assigns every row to the class with highest score. Operations may need different evidence for each class: one category may trigger a costly action, while another can be handled automatically. Per-class thresholds
Turn a spreadsheet process into an auditable AI workflow
Spreadsheets often mix input, business rule, human edit and final state in the same mutable cell. An auditable workflow separates events and decisions while retaining the sheet as an interface when useful.
Turn a tutorial notebook into a defensible portfolio project
Completing a tutorial proves that you can follow its path. A portfolio project must show which decisions you made, what evidence challenged them and whether another person can reproduce the result. Changing the colour pa
Turn a vague automation request into acceptance criteria
“Automate invoice processing” does not specify fields, evidence, approval or failure behaviour. Acceptance criteria turn that request into testable decisions.
Turn an Excel-heavy role into evidence of analytical skill
Turn spreadsheet experience into analytical evidence by showing the question you answered, the rules you applied, the errors you detected and how someone else could reproduce the result. A list of Excel functions says le
Turn field feedback into a product prioritization memo
Forward-deployed work produces rich feedback, but the loudest request is not automatically the best product priority. Convert anecdotes into comparable evidence and preserve the difference between a client promise and a
UNION versus UNION ALL in monthly sales files
UNION combines compatible query results and removes duplicate output rows. UNION ALL combines them while retaining every row. The choice is about meaning before it is about performance: should repeated-looking rows survi
Use a model-generated explanation without treating it as proof
A fluent explanation can help a reviewer understand a proposed answer. It does not establish that the inputs, arithmetic, citation or causal story are correct. Verification must come from evidence and independent rules.
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