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How far are you from the role you want next?

Most people cannot describe their own gap precisely, which is why the plan to close it never gets made. Choose a target role, rate yourself against the levels it actually demands, and get a readiness percentage, a radar chart of where you sit versus where the role sits, and the three gaps worth attacking first.

1 · Choose your target role

Pick the role you want next, not the one you hold today.

Data ScientistTurns messy organisational data into decisions people actually act on.

2 · Rate yourself honestly

One is “never done it”; five is “others come to me for this”. Flattering yourself here only produces a flattering, useless result.

  • Statistics & experiments

    Required: level 5

    Designing and reading tests without fooling yourself

  • SQL & data modelling

    Required: level 4

    Getting to a trustworthy table before any modelling starts

  • Python for analysis

    Required: level 5

    pandas, notebooks, reproducible analysis

  • Machine learning

    Required: level 4

    Supervised methods, validation, honest error analysis

  • Data storytelling

    Required: level 4

    Explaining a result to someone who will not read the code

  • Business framing

    Required: level 3

    Turning a vague ask into a measurable question

  • MLOps fundamentals

    Required: level 3

    Versioning, monitoring, and life after the notebook

1 · Never done it3 · Working5 · Expert

3 · Your readiness

Credited level divided by required level, across every skill.

75% ready

75%

Close — two or three gaps stand between you and the role

Statistics &experimentsSQL & datamodellingPython foranalysisMachine learningData storytellingBusiness framingMLOpsfundamentals
Your current levelRequired for Data Scientist

4 · Your three biggest gaps

5 skills sit below the required level. These are the ones to close first.

  1. 1

    Statistics & experiments

    2 levels short

    You: level 3 · Required: level 5Designing and reading tests without fooling yourself

  2. 2

    Python for analysis

    2 levels short

    You: level 3 · Required: level 5pandas, notebooks, reproducible analysis

  3. 3

    SQL & data modelling

    1 level short

    You: level 3 · Required: level 4Getting to a trustworthy table before any modelling starts

Already at or above the bar

Business framingMLOps fundamentals

How it works

What is behind the score

No assessment, no proctoring, no data collection — this is a structured self-audit against a published set of levels, and it is only as good as your honesty.

The required levels are the honest ones

Each role carries six to eight skills, scored 1–5, set at what a competent and hireable candidate is normally expected to bring — not at what the best person in the country can do. A 5 is reserved for the two or three skills the role genuinely lives or dies by.

Readiness is credited, never inflated

For every skill we credit the lower of your level and the required level, then divide the total by the sum of required levels. Rating yourself a 5 where a 3 is asked for does not lift your score — surplus in one skill cannot paper over a shortfall in another.

The radar shows shape, not just size

The dashed violet outline is the role. The solid indigo shape is you. A profile that is uniformly close to the outline reads very differently to one that spikes on two axes and collapses on the rest — the second is usually the harder interview.

Recommendations follow the domain

Each role maps to one of the domains in the catalogue, and the programmes shown are drawn from it. They are a starting shortlist, not a prescription: read the curriculum against your three gaps before enquiring.

Reading the levels consistently

Level 1 — Never done it
You understand the words. You have not shipped anything with them.
Level 2 — Aware
You have contributed under supervision, or studied it without applying it.
Level 3 — Working
You do this unsupervised on ordinary problems, and you know where you are weak.
Level 4 — Strong
You handle unfamiliar and ambiguous cases, and you review other people's work.
Level 5 — Expert
Colleagues come to you. You set the standard for how it is done here.

Assumptions and limits

  • The role profiles are composites drawn from how these roles are typically scoped in Indian organisations. A specific employer will weight them differently, and a startup will weight them very differently to a bank.
  • Skills are treated as independent and equally weighted by their required level. In reality some gaps block a hire outright while others are trained on the job.
  • Nothing here accounts for domain experience, sector knowledge, references or the quality of your network — all of which move hiring decisions at least as much as skills do.
  • Readiness is not a probability of being hired. It is a description of the distance between two profiles, one of which you wrote yourself.

Next step

Turn three gaps into one decision

A gap list is not a plan. A counsellor can tell you which of your three gaps a given cohort genuinely closes, which you are better off closing at work, and whether a certification or a full degree is the right instrument.

  • Sequence the gaps

    Closing the gap that unlocks the others first is usually cheaper than closing all three at once.

  • Match to curriculum

    We will map your gaps against actual module lists, not marketing copy.

  • Be told when not to enrol

    If your gap is experience rather than knowledge, a programme is the wrong purchase and we will say so.

Want the catalogue narrowed for you instead? Answer six questions.

Discuss your gap analysis

Tell us the role you targeted and the three gaps you found — we will start from there.

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