What are the "before and after resume" case studies shown here?

Each example compares an original resume with a tailored version created in Resumly—showing keyword alignment to the job description, rewritten achievement bullets, improved structure, and ATS‑friendly formatting along with the outcomes achieved.

How does Resumly improve ATS scores and interview rates?

Resumly analyzes the job description, maps required skills, adds missing keywords naturally, rewrites bullets with measurable impact, and optimizes layout for parsing. Users typically see higher ATS matches and more recruiter responses when they tailor for each role.

Are these results and testimonials real?

Yes. Customer quotes and video testimonials are from real users. Before‑and‑after resumes are anonymized and shared with permission; sensitive details are removed while preserving the edits that drove success.

How fast can I see improvements like these?

Many job seekers notice a lift in callbacks within 24–72 hours after tailoring and applying to multiple high‑match roles. Timelines vary by market, role, and consistency of applications.

Which industries and roles do these results cover?

We feature examples across technology, marketing, operations, finance, healthcare and more—from entry‑level to senior roles. The same tailoring workflow works across industries because it’s driven by the target job description.

Results — Resumly

Before

Key Skills

Python
SQL
Data Wrangling
Data Visualization
Excel
Jupyter Notebooks
Statistical Analysis
ETL
Descriptive Analytics

Summary

Data Scientist with experience in data analysis and visualization.
Hands-on experience with data extraction, cleaning, and preparation for analysis.
Familiar with implementing basic machine learning models.
Proficient in using Python and SQL for data manipulation.
Comfortable with creating visualizations for data insights.

Before

Key Skills

Python
SQL
Data Wrangling
Data Visualization
Excel
Jupyter Notebooks
Statistical Analysis
ETL
Descriptive Analytics

Summary

Data Scientist with experience in data analysis and visualization.
Hands-on experience with data extraction, cleaning, and preparation for analysis.
Familiar with implementing basic machine learning models.
Proficient in using Python and SQL for data manipulation.
Comfortable with creating visualizations for data insights.

After

Key Skills

Python
SQL
Machine Learning
Predictive Modeling
Data Engineering
AWS
Big Data
Data Visualization
Statistical Analysis

Summary

Data Scientist with 6+ years of experience driving data-led decision-making and delivering measurable business impact.
Demonstrated success in predictive modeling and machine learning, with a proven track record of increasing forecast accuracy and operational efficiency.
Expert in deploying scalable ML pipelines and automating data workflows using Python, SQL, and AWS services.
Collaborates effectively with cross-functional teams to translate complex data into clear business insights.
Committed to continuous innovation, leveraging big data, statistical analysis, and visualization to drive strategic outcomes.