ATS Score
85/100
Projects
80/100
Certifications
85/100
Education
75/100
Header
80/100
Skills
90/100
Profile
88/100
Work Experience
85/100
Add a phone number and complete location details in the header to improve ATS parsing and recruiter contact.
Standardize and include start/end dates and employment types across all work experiences for clarity and ATS compatibility.
Incorporate soft skills and proficiency levels in the skills section to appeal more to recruiters.
Include dates for projects and certifications to provide better timeline context and credibility.
Expand education details with start dates and relevant coursework or honors to strengthen academic background.
Strong quantification of achievements in work experience demonstrating impact (e.g., 40% query optimization).
Diverse technical skill set covering SQL, BI tools, Python, and cloud ETL technologies.
Relevant and recognized certifications that validate core competencies in data analytics.
Clear and concise summary with measurable outcomes and cross-industry stakeholder collaboration.
Projects
80%
Projects demonstrate practical application of skills with clear descriptions.
Add dates to projects to provide timeline context and relevance.
Mention specific technologies or tools used in each project explicitly to improve keyword density.
Certifications
85%
Certifications are relevant and recent, reinforcing expertise in Power BI and data analytics.
Add missing award dates (e.g., Azure Fundamentals) for completeness.
Consider including certification IDs or links for verification if applicable.
Education
75%
Education section includes a prestigious institution and strong GPA, which is a good differentiator.
Add start date or duration of study to give a clearer academic timeline.
Include relevant coursework, honors, or projects if applicable to strengthen this section.
Header
80%
Include a phone number to improve recruiter contact options and ATS completeness.
Provide a full, properly formatted location including street or at least city and state consistently.
The LinkedIn URL should be a full URL starting with https:// for better ATS parsing.
Skills
90%
Comprehensive and well-categorized hard skills and tools relevant to data analysis and BI roles.
Including soft skills could improve the balance and appeal to recruiters looking for teamwork and communication abilities.
Consider listing proficiency levels (e.g., advanced, intermediate) for key skills to provide more context.
Profile
88%
Strong summary with quantifiable achievements and relevant technical skills.
Consider adding a brief objective statement to clarify career goals and align with job targets.
Profile highlights effectively showcase key competencies; consider adding 1-2 soft skills to balance technical focus.
Work Experience
85%
Work descriptions include strong action verbs and quantifiable metrics, which is excellent for ATS and recruiters.
Add consistent start and end dates for all roles to improve timeline clarity and ATS parsing.
Use consistent formatting for bullet points and consider adding more details about technologies used per project.
Clarify the employment type (full-time, contract, etc.) for each role to enhance completeness.