Aspiring Data Analyst skilled in Python, SQL, Excel, and Power BI

Anuj Joshi

Professional Summary

Aspiring Data Analyst proficient in Python, SQL, Excel, and Power BI with proven experience in data wrangling, visualization, and storytelling to deliver actionable insights. Skilled at transforming complex datasets into clear business intelligence and building interactive dashboards that enhance decision-making.

Work Experience

AWS Cloud Computing Intern at LinuxWorld Informatics Pvt Ltd

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Developed a Python-driven interface integrating Amazon EC2, S3, and SNS services to streamline cloud resource management. Designed and implemented an intuitive dashboard and automation tools, enhancing AWS usability for non-technical stakeholders. Collaborated with cross-functional teams to simplify AWS operations, improving efficiency and user experience.

Education

Bachelor of Technology in Computer Science and Engineering

Arya College of Engineering and Research Centre, Jaipur

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GPA: 8.4

Skills

Technical Skills

  • Python
  • SQL
  • Excel
  • Power BI
  • Power Query
  • MySQL
  • Exploratory Data Analysis
  • Documentation
Score
75/100
Projects
85/100
Profile
80/100
Work Experience
75/100
Header
70/100
Education
75/100
Skills
80/100
Certifications
0/100
Add professional URLs for LinkedIn and GitHub to improve ATS parsing and recruiter access.
Include more detailed work experience with quantifiable impact metrics and consistent date formatting.
Expand soft skills section to highlight interpersonal and communication abilities.
Add certifications relevant to data analysis to boost credibility and ATS keyword matches.
Include dates for projects and consider adding links to online portfolios or code repositories.
Strong proficiency in key data analysis tools like Python, SQL, Excel, and Power BI.
Demonstrated ability to analyze large datasets and deliver actionable business insights.
Clear and concise project descriptions with quantifiable results.
Relevant technical internship experience with cloud computing exposure.

Projects

85%
Projects are detailed with clear use of data tools and quantifiable insights, which is strong.
Add dates or durations for projects to provide timeline context.
Consider including links to project repositories or dashboards if available online.

Profile

80%
The summary is concise and highlights key skills and value proposition well.
Add specific quantifiable achievements or metrics to strengthen impact.
Consider including a clear objective or profile highlights section to guide ATS and recruiters on career goals.

Work Experience

75%
Expand on the internship by adding specific metrics showing impact, such as percentage improvement or time saved.
Include consistent date formatting and clarify exact months for better ATS parsing.
Consider adding more work experience or relevant internships/projects to demonstrate breadth.

Header

70%
Include a professional LinkedIn and GitHub URL to enhance credibility and ATS parsing.
Add a phone number in a standard international format for better ATS recognition.
Consider adding a location with a more complete address or at least city and country clearly formatted.

Education

75%
Education section includes relevant degree and coursework which is good.
Add expected graduation date in a consistent format and consider including any academic honors or projects.
Consider adding a brief description of key achievements or relevant coursework outcomes.

Skills

80%
Hard skills are well listed and relevant to data analysis roles.
Add soft skills such as communication, problem-solving, or teamwork to present a balanced profile.
Group tools and skills logically and use keywords aligned with job descriptions for better ATS matches.

Certifications

0%
Section missing