Editorial-style infographic showing a data science career path through a CV anatomy diagram, with a dark dashboard layout, pastel accents, UI panels, icons, and annotated resume tips. Includes 8 practical resume sections, do and don't badges, mini charts, and an example salary ladder aligned with the harris corporation salary chart keyword.
Re-render this exact infographic with every label, heading and caption translated. We re-use all the original attributes (topic, style, palette, …) and only swap the language. Currently in English.
Career infographic titled "Data Science Career Path". Archetype: CV ANATOMY DIAGRAM. Editorial LinkedIn-magazine illustration in a dark dashboard style with a soft pastel palette, clean grid, modern data-visual accents, subtle UI panels, elegant icons, and creative-industry visual polish. Show a full resume layout annotated with do/don't callouts and a career progression lens for data science roles. Include 8 labeled sections in English with concrete actionable tips: 1) Header — name, role title, portfolio/GitHub, city, concise contact info; Do: use a clear role target like "Data Scientist"; Don't: overcrowd with unnecessary personal details. 2) Professional Summary — 2-3 lines focused on domain strengths, tools, and measurable impact; Do: mention ML, analytics, experimentation, business outcomes; Don't: write generic buzzwords. 3) Experience — reverse-chronological achievements with metrics; Do: use bullets like "Improved forecast accuracy by 18%" and "Reduced model latency by 25%"; Don't: list duties without results. 4) Projects — featured machine learning, analytics, and visualization case studies; Do: show problem, method, stack, and outcome; Don't: include unfinished or unclear projects. 5) Skills — grouped as Python, SQL, Machine Learning, Statistics, Data Visualization, MLOps; Do: organize by proficiency and relevance; Don't: create long unranked keyword dumps. 6) Education & Certifications — degree, relevant coursework, certifications; Do: include statistics, computer science, AI, experimentation; Don't: overemphasize outdated or irrelevant training. 7) Tools & Portfolio Proof — GitHub, Kaggle, dashboards, notebooks, presentation samples; Do: link to reproducible work and storytelling artifacts; Don't: use broken links or private-only samples. 8) Career Path & Example Salary — mini ladder inside the diagram: Junior Data Analyst → Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data, with illustrative salary numbers labeled as example: Example salary 650 000 Kč, 900 000 Kč, 1 250 000 Kč, 1 600 000 Kč, 2 100 000 Kč annually; clearly mark all salary figures as "Example salary". Add visual do/don't badges near each resume block, arrows, callout lines, tiny charts, and tasteful dashboard widgets. Keep the composition informative, inclusive, non-discriminatory, and free of any real company logos or endorsements. All text MUST be written in English (array). Every heading, label, caption, legend and metric name in the image must be in English — not English. Spell each English word correctly using English characters and diacritics. Numbers stay as digits, no real company logos as recommendations, no watermarks No real company logos as endorsements. Illustrative salary numbers labeled as example. No discriminatory framing.
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