AI & Data Scientist

AI and Data Scientist Roadmap

Step by step roadmap guide to becoming an AI and Data Scientist in @currentYear@

This page is a visitor-friendly snapshot of how William currently sees this area: what feels strong, what is still being refined, and where the evidence is still partial.

0

Done

0

Learning

0

Target

0

Skipped

10

Tracked

Status meanings

Done: enough evidence to present this area as a solid strength.

Learning: an area of active development with growing confidence.

Target: relevant and intentional, but still earlier in the journey.

Skipped: not a current priority relative to other areas.

How the estimates are formed

Profile and manual review: 0

Evidence from project experience: 0

Competency mapping alignment: 0

Quiz-backed updates: 0

These signals help estimate progress, but they are still best treated as directional rather than perfectly complete.

Areas currently being strengthened

No standout growth areas are being highlighted here yet.

Mathematics

Untracked

Statistics

Untracked

Econometrics

Untracked

Coding

Untracked

Exploratory Data Analysis

Untracked

Machine Learning

Untracked

Deep Learning

Untracked

MLOps

Untracked

AI Engineering

Untracked

Vibe Coding

Untracked