Nithin Kumar Ravela

Self-managed and motivated Master of Information Technology graduate, with extensive knowledge in IT and currently seeking to work. An excellent academic record combined with ability to understand current ICT environments like Data Analytics. Proven ability to troubleshoot computer problems and provide excellent customer service. Seeking an opportunity to use my skills and knowledge to make a positive impact on the IT department of a growing company.

Creating a resume for an entry-level Power BI position involves highlighting your skills, education, and any relevant experience you have. Here's a sample entry-level Power BI resume:

[Your Name] [Your Address] [Your City, State, Zip] [Your Phone Number] [Your Email Address]

Objective: Dynamic and motivated recent graduate with a Bachelor's degree in [Your Field] seeking an entry-level position in Power BI. Eager to apply analytical skills and knowledge of data visualization to contribute to the success of a forward-thinking organization.

Education: Bachelor of Science in [Your Field] [University Name], [Location] [Month, Year] - [Month, Year] Relevant coursework: Data Analysis, Database Management, Business Intelligence.

Skills:

• Proficient in Microsoft Power BI for data visualization and reporting.
• Strong understanding of data analysis techniques.
• Familiarity with SQL for data querying and manipulation.
• Ability to interpret and communicate data insights effectively.
• Detail-oriented with a commitment to accuracy.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and teamwork abilities.
• Quick learner with a passion for continuous growth and development.

Projects: [Title of Project]

• Description: Developed a Power BI dashboard to analyze sales data and identify trends.
• Tools Used: Power BI, Excel, SQL.
• Results: Increased efficiency in tracking sales performance and decision-making process.

[Title of Project]

• Description: Created a Power BI report to visualize customer feedback data and identify areas for improvement.
• Tools Used: Power BI, Excel, SQL.
• Results: Provided actionable insights to enhance customer satisfaction and retention.