Start with a strong verb, follow with the quantified result, then add scope and methods: “Automated invoice matching, cutting processing time 48% across 3 regions using Python and OCR.” This structure highlights evidence first, then explains how, satisfying both scanning algorithms and detail-hungry hiring managers in one breath.
Write numbers using digits and standard units: 12%, $1.2M, 3x, 14 days. Spell out uncommon acronyms once. Avoid cluttered ranges and artistic spacing. Use consistent formatting across bullets so automated parsing captures patterns reliably and human readers quickly compare scale, speed, or savings between projects without confusion.
Past roles should use past tense; current roles can use present, except when reporting completed results. Maintain parallel structure and keep each bullet focused on one measurable outcome. Consistency helps ATS classifiers interpret sections accurately and gives your narrative a professional cadence that feels deliberate and trustworthy.
Extract skills, tools, and outcomes from multiple postings for your target role. Group them: core competencies, platforms, methodologies, and quantitative outcomes. Then pair each cluster with at least one validated metric from your experience. This deliberate mapping boosts match scores without diluting authenticity or creating keyword salad.
If a posting mentions “pipeline” and “funnel,” use the variant that fits your story and, where natural, the sibling term elsewhere. Place precise numbers beside both. This approach captures alternate phrasing the system might index while preserving credibility and flow for the actual human reading your accomplishments.
Echo the job’s nouns and verbs only when they reflect your genuine work. Calibrate frequency to sound human. Anchor each echoed phrase with a concrete result, tool, or scale indicator. This keeps match rates high while preventing red flags for over-optimization or formulaic, hollow-sounding statements that disappoint.
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