75
ATS Score
0100
Top Improvements
Add a professional summary or objective to immediately communicate career goals and value.
Enhance work experience with quantifiable achievements and more detailed descriptions.
Include contact phone number and ensure all links are complete URLs for ATS parsing.
Incorporate certifications or relevant training to validate skills and knowledge.
Expand skills section with proficiency levels and additional data science-specific keywords.
Key Strengths
Strong foundational skills in Python, SQL, and machine learning demonstrated through diverse projects.
Hands-on experience building full-stack ML applications with deployment and dashboard integration.
Clear communication skills bridging technical and non-technical audiences.
Exposure to multiple domains including healthcare, retail, and finance enhancing versatility.
Work Experience
65
Add more detailed descriptions of responsibilities and accomplishments with quantifiable results (e.g., 'improved application load time by 20%').
Include specific dates in month/year format consistently and clarify employment type (internship, contract, etc.).
Highlight any data science-related tasks or transferable skills from the Web Engineer Intern role.
Consider adding more work experience or relevant internships to demonstrate practical exposure.
Header
70
Include a phone number to improve contactability and ATS parsing.
Add a professional summary or objective statement to immediately convey career goals and value proposition.
Ensure LinkedIn and GitHub URLs are full URLs (e.g., https://linkedin.com/in/jameswhitmore) to enhance ATS link recognition.
Certifications
0
Section missing
Education
80
List relevant coursework clearly and consistently for each degree to highlight technical foundation.
Add expected graduation date for the ongoing Master's degree for clarity.
Include any academic projects, thesis, or honors related to data science to strengthen this section.
Profile
75
Expand the Profile Highlights into a concise summary paragraph to improve readability and ATS keyword scanning.
Incorporate quantifiable achievements or impact metrics to strengthen the profile section.
Use keywords aligned with data science roles such as 'machine learning,' 'data analysis,' and 'model deployment' explicitly.
Projects
85
Include specific outcomes or impact metrics (e.g., accuracy rates, R² scores) for each project to demonstrate effectiveness.
Add technologies and tools used in a consistent format to improve ATS keyword extraction.
Consider grouping projects by domain or skill to highlight versatility and depth.
Skills
80
Organize skills into distinct categories such as Programming Languages, Data Science Tools, and Soft Skills for clarity.
Add proficiency levels (e.g., advanced, intermediate) to hard skills for better ATS and recruiter understanding.
Include additional relevant skills like 'Machine Learning,' 'Data Visualization,' or 'Statistical Analysis' explicitly.
Consider integrating keywords like 'Model Deployment,' 'Data Wrangling,' and 'ETL Processes' to align with data science roles.